mvsim repository

Repository Summary

Checkout URI https://github.com/ual-arm-ros-pkg/mvsim.git
VCS Type git
VCS Version master
Last Updated 2020-07-13
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Package Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
mvsim 0.2.1

README

mvsim Documentation Status ROS build farm: git master: M Build Status Last release: M Build Status K Build Status

MultiVehicle simulator (libmvsim)

Lightweight, realistic dynamical simulator for 2D ("2.5D") vehicles and robots. It is tailored to analysis of vehicle dynamics, wheel-ground contact forces and accurate simulation of typical robot sensors (e.g. laser scanners).

This package includes the C++ library mvsim, a standalone app and a ROS node.

License: 3-clause BSD License Copyright (C) 2014-2020 Jose Luis Blanco jlblanco@ual.es (University of Almeria) and collaborators

MvSim intro

Docs

Main features

  • Lightweight in memory, CPU and library requirements.
  • Fully configurable via .xml "world" files.
  • World maps:
    • Occupancy gridmaps: input as images or MRPT binary maps (from icp-slam, rbpf-slam, etc.)
    • Elevation meshes.
  • Vehicle models:
    • Differential driven (2 & 4 wheel drive).
    • Ackermann steering (kinematic & dynamic steering, different mechanical drive models).
    • Ackermann steering with mechanical differentials of full grade.
  • Sensors:
    • Laser scanners: Robots see each other, their own bodies, etc.
  • Interface to vehicles: Choose among:
    • Raw access to forces and motor torques.
    • Twist commands (using internal controllers).

CONTRIBUTING

No CONTRIBUTING.md found.

Repository Summary

Checkout URI https://github.com/ual-arm-ros-pkg/mvsim.git
VCS Type git
VCS Version master
Last Updated 2020-07-13
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Package Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
mvsim 0.2.1

README

mvsim Documentation Status ROS build farm: git master: M Build Status Last release: M Build Status K Build Status

MultiVehicle simulator (libmvsim)

Lightweight, realistic dynamical simulator for 2D ("2.5D") vehicles and robots. It is tailored to analysis of vehicle dynamics, wheel-ground contact forces and accurate simulation of typical robot sensors (e.g. laser scanners).

This package includes the C++ library mvsim, a standalone app and a ROS node.

License: 3-clause BSD License Copyright (C) 2014-2020 Jose Luis Blanco jlblanco@ual.es (University of Almeria) and collaborators

MvSim intro

Docs

Main features

  • Lightweight in memory, CPU and library requirements.
  • Fully configurable via .xml "world" files.
  • World maps:
    • Occupancy gridmaps: input as images or MRPT binary maps (from icp-slam, rbpf-slam, etc.)
    • Elevation meshes.
  • Vehicle models:
    • Differential driven (2 & 4 wheel drive).
    • Ackermann steering (kinematic & dynamic steering, different mechanical drive models).
    • Ackermann steering with mechanical differentials of full grade.
  • Sensors:
    • Laser scanners: Robots see each other, their own bodies, etc.
  • Interface to vehicles: Choose among:
    • Raw access to forces and motor torques.
    • Twist commands (using internal controllers).

CONTRIBUTING

No CONTRIBUTING.md found.

Repository Summary

Checkout URI https://github.com/ual-arm-ros-pkg/mvsim.git
VCS Type git
VCS Version master
Last Updated 2020-07-13
Dev Status MAINTAINED
CI status No Continuous Integration
Released UNRELEASED
Package Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
mvsim 0.2.1

README

mvsim Documentation Status ROS build farm: git master: M Build Status Last release: M Build Status K Build Status

MultiVehicle simulator (libmvsim)

Lightweight, realistic dynamical simulator for 2D ("2.5D") vehicles and robots. It is tailored to analysis of vehicle dynamics, wheel-ground contact forces and accurate simulation of typical robot sensors (e.g. laser scanners).

This package includes the C++ library mvsim, a standalone app and a ROS node.

License: 3-clause BSD License Copyright (C) 2014-2020 Jose Luis Blanco jlblanco@ual.es (University of Almeria) and collaborators

MvSim intro

Docs

Main features

  • Lightweight in memory, CPU and library requirements.
  • Fully configurable via .xml "world" files.
  • World maps:
    • Occupancy gridmaps: input as images or MRPT binary maps (from icp-slam, rbpf-slam, etc.)
    • Elevation meshes.
  • Vehicle models:
    • Differential driven (2 & 4 wheel drive).
    • Ackermann steering (kinematic & dynamic steering, different mechanical drive models).
    • Ackermann steering with mechanical differentials of full grade.
  • Sensors:
    • Laser scanners: Robots see each other, their own bodies, etc.
  • Interface to vehicles: Choose among:
    • Raw access to forces and motor torques.
    • Twist commands (using internal controllers).

CONTRIBUTING

No CONTRIBUTING.md found.

Repository Summary

Checkout URI https://github.com/ual-arm-ros-pkg/mvsim.git
VCS Type git
VCS Version master
Last Updated 2020-07-13
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Package Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
mvsim 0.2.1

README

mvsim Documentation Status ROS build farm: git master: M Build Status Last release: M Build Status K Build Status

MultiVehicle simulator (libmvsim)

Lightweight, realistic dynamical simulator for 2D ("2.5D") vehicles and robots. It is tailored to analysis of vehicle dynamics, wheel-ground contact forces and accurate simulation of typical robot sensors (e.g. laser scanners).

This package includes the C++ library mvsim, a standalone app and a ROS node.

License: 3-clause BSD License Copyright (C) 2014-2020 Jose Luis Blanco jlblanco@ual.es (University of Almeria) and collaborators

MvSim intro

Docs

Main features

  • Lightweight in memory, CPU and library requirements.
  • Fully configurable via .xml "world" files.
  • World maps:
    • Occupancy gridmaps: input as images or MRPT binary maps (from icp-slam, rbpf-slam, etc.)
    • Elevation meshes.
  • Vehicle models:
    • Differential driven (2 & 4 wheel drive).
    • Ackermann steering (kinematic & dynamic steering, different mechanical drive models).
    • Ackermann steering with mechanical differentials of full grade.
  • Sensors:
    • Laser scanners: Robots see each other, their own bodies, etc.
  • Interface to vehicles: Choose among:
    • Raw access to forces and motor torques.
    • Twist commands (using internal controllers).

CONTRIBUTING

No CONTRIBUTING.md found.

Repository Summary

Checkout URI https://github.com/ual-arm-ros-pkg/mvsim.git
VCS Type git
VCS Version master
Last Updated 2020-07-13
Dev Status MAINTAINED
CI status No Continuous Integration
Released RELEASED
Package Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Packages

Name Version
mvsim 0.2.1

README

mvsim Documentation Status ROS build farm: git master: M Build Status Last release: M Build Status K Build Status

MultiVehicle simulator (libmvsim)

Lightweight, realistic dynamical simulator for 2D ("2.5D") vehicles and robots. It is tailored to analysis of vehicle dynamics, wheel-ground contact forces and accurate simulation of typical robot sensors (e.g. laser scanners).

This package includes the C++ library mvsim, a standalone app and a ROS node.

License: 3-clause BSD License Copyright (C) 2014-2020 Jose Luis Blanco jlblanco@ual.es (University of Almeria) and collaborators

MvSim intro

Docs

Main features

  • Lightweight in memory, CPU and library requirements.
  • Fully configurable via .xml "world" files.
  • World maps:
    • Occupancy gridmaps: input as images or MRPT binary maps (from icp-slam, rbpf-slam, etc.)
    • Elevation meshes.
  • Vehicle models:
    • Differential driven (2 & 4 wheel drive).
    • Ackermann steering (kinematic & dynamic steering, different mechanical drive models).
    • Ackermann steering with mechanical differentials of full grade.
  • Sensors:
    • Laser scanners: Robots see each other, their own bodies, etc.
  • Interface to vehicles: Choose among:
    • Raw access to forces and motor torques.
    • Twist commands (using internal controllers).

CONTRIBUTING

No CONTRIBUTING.md found.