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Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro jazzy showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro kilted showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro rolling showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro ardent showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro bouncy showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro crystal showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro eloquent showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro dashing showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro galactic showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

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Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro iron showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro lunar showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro jade showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro indigo showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro hydro showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

No version for distro kinetic showing melodic. Known supported distros are highlighted in the buttons above.
Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
melodic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version melodic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

Recent questions tagged mpc_local_planner at Robotics Stack Exchange

Package symbol

mpc_local_planner package from mpc_local_planner repo

mpc_local_planner mpc_local_planner_examples mpc_local_planner_msgs

ROS Distro
noetic

Package Summary

Tags No category tags.
Version 0.0.3
License GPLv3
Build type CATKIN
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/rst-tu-dortmund/mpc_local_planner.git
VCS Type git
VCS Version noetic-devel
Last Updated 2020-07-19
Dev Status DEVELOPED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

Additional Links

Maintainers

  • Christoph Rösmann

Authors

  • Christoph Rösmann
README
No README found. See repository README.
CHANGELOG

Changelog for package mpc_local_planner

0.0.3 (2020-06-09)

  • Added feasibility check with costmap robot model
  • Changed obstacle parameters [cutoff_factor]{.title-ref} and [force_inclusion_factor]{.title-ref} to [cutoff_dist]{.title-ref} and [force_inclusion_dist]{.title-ref}
  • Added check for obstacle pointer validity in StageInequalitySE2
  • Dynamic obstacles: the inequality constraints now use the actual time parameter rather than the time from the previous optimization
  • Added hybrid cost (time and control effort)
  • Added kinematic bicycle model with velocity input
  • Grid: The time difference is now initialized to dt_ref for reference trajectory caching
  • Fixed wrong start orientation in point-to-point grid initialization
  • Fixed wrong angular computation in midpoint differences
  • Added missing install files (thanks to marbosjo)
  • Changed minimum CMake version to 3.1
  • Contributors: Christoph Rösmann, marbosjo

0.0.2 (2020-03-12)

  • Added option to inherit the robot footprint model from the costmap_2d footprint by setting footprint type to [costmap_2d]{.title-ref} (thanks to Alexander Xydes). Note that using a polygon as a robot footprint model is computationally more expensive than using two circle or line models.
  • Fixed issues in fd discretization grid and graph consistency
  • Fixed initialization of linear velocity output commands in simple car and unicycle models (thanks to Thomas Denewiler).
  • Fixed wrong parameter namespaces for some grid parameters
  • Replaced non-ASCII characters in python script
  • Added find_package script for osqp in case control_box_rst is linked against it
  • Contributors: Christoph Rösmann, Alexander Xydes, Thomas Denewiler

0.0.1 (2020-02-20)

  • First release
  • Contributors: Christoph Rösmann

Launch files

Messages

No message files found.

Services

No service files found

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