Repository Summary
| Checkout URI | https://github.com/utexas-bwi/segbot.git |
| VCS Type | git |
| VCS Version | melodic-devel |
| Last Updated | 2020-03-19 |
| Dev Status | DEVELOPED |
| 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 |
|---|---|
| m1n6s200_segbot_moveit_config | 0.2.0 |
| only_segbot_arm | 0.3.5 |
| only_segbot_base | 0.3.5 |
| segbot | 0.3.5 |
| draw_demo | 0.1.4 |
| mimic_motion | 0.0.0 |
| segbot_arm_joystick | 0.0.1 |
| segbot_arm_manipulation | 0.0.1 |
| segbot_arm_tasks | 0.0.0 |
| segbot_arm_tutorials | 0.0.0 |
| segbot_bringup | 0.3.5 |
| segbot_description | 0.3.5 |
| segbot_firmware | 0.3.5 |
| segbot_gazebo | 0.3.5 |
| segbot_led | 0.3.5 |
| segbot_navigation | 0.3.5 |
| segbot_sensors | 0.3.5 |
| segbot_simulation_apps | 0.3.5 |
README
The segbot ROS metapackage
ROS drivers for controlling Segway-based robots at the Learning Agents Research Group (LARG), AI Laboratory, Department of Computer Science, University of Texas at Austin.
Documentation for much of this code-base can be found on the ROS wiki: * segbot
All the code in this package has been released using a modified BSD license, which can be found with this package here.
All academic uses of this work should cite the following representative paper: "Piyush Khandelwal, Fangkai Yang, Matteo Leonetti, Vladimir Lifschitz, and Peter Stone. Planning in Action Language BC while Learning Action Costs for Mobile Robots. International Conference on Automated Planning and Scheduling (ICAPS). 2014."
CONTRIBUTING
Repository Summary
| Checkout URI | https://github.com/utexas-bwi/segbot.git |
| VCS Type | git |
| VCS Version | kinetic |
| Last Updated | 2018-12-07 |
| Dev Status | DEVELOPED |
| 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 |
|---|---|
| m1n6s200_segbot_moveit_config | 0.2.0 |
| only_segbot_arm | 0.3.5 |
| only_segbot_base | 0.3.5 |
| segbot | 0.3.5 |
| draw_demo | 0.1.4 |
| mimic_motion | 0.0.0 |
| segbot_arm_joystick | 0.0.1 |
| segbot_arm_manipulation | 0.0.1 |
| segbot_arm_tasks | 0.0.0 |
| segbot_arm_tutorials | 0.0.0 |
| segbot_bringup | 0.3.5 |
| segbot_description | 0.3.5 |
| segbot_firmware | 0.3.5 |
| segbot_gazebo | 0.3.5 |
| segbot_led | 0.3.5 |
| segbot_navigation | 0.3.5 |
| segbot_sensors | 0.3.5 |
| segbot_simulation_apps | 0.3.5 |
README
The segbot ROS metapackage
ROS drivers for controlling Segway-based robots at the Learning Agents Research Group (LARG), AI Laboratory, Department of Computer Science, University of Texas at Austin.
Documentation for much of this code-base can be found on the ROS wiki: * segbot
All the code in this package has been released using a modified BSD license, which can be found with this package here.
All academic uses of this work should cite the following representative paper: "Piyush Khandelwal, Fangkai Yang, Matteo Leonetti, Vladimir Lifschitz, and Peter Stone. Planning in Action Language BC while Learning Action Costs for Mobile Robots. International Conference on Automated Planning and Scheduling (ICAPS). 2014."
CONTRIBUTING
Repository Summary
| Checkout URI | https://github.com/utexas-bwi/segbot.git |
| VCS Type | git |
| VCS Version | indigo |
| Last Updated | 2018-03-09 |
| Dev Status | DEVELOPED |
| 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 |
|---|---|
| segbot | 0.3.5 |
| segbot_bringup | 0.3.5 |
| segbot_description | 0.3.5 |
| segbot_firmware | 0.3.5 |
| segbot_gazebo | 0.3.5 |
| segbot_gui | 0.3.5 |
| segbot_led | 0.3.5 |
| segbot_logical_translator | 0.3.5 |
| segbot_navigation | 0.3.5 |
| segbot_sensors | 0.3.5 |
| segbot_simulation_apps | 0.3.5 |
README
The segbot ROS metapackage
ROS drivers for controlling Segway-based robots at the Learning Agents Research Group (LARG), AI Laboratory, Department of Computer Science, University of Texas at Austin.
Documentation for much of this code-base can be found on the ROS wiki: * segbot
All the code in this package has been released using a modified BSD license, which can be found with this package here.
All academic uses of this work should cite the following representative paper: "Piyush Khandelwal, Fangkai Yang, Matteo Leonetti, Vladimir Lifschitz, and Peter Stone. Planning in Action Language BC while Learning Action Costs for Mobile Robots. International Conference on Automated Planning and Scheduling (ICAPS). 2014."