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Python implementation of a bunch of multi-robotpath-planning
multi_agent_path_planning is a Python-based implementation of multi-agent pathfinding algorithms for coordinating multiple agents in shared environments without collisions. It is useful in robotics, warehouse automation, and gaming AI.
Moved to https://github.com/rdiankov/openrave
An open-source, cross-platform, plugin-based robot planning environment for autonomous robotics. Includes services like collision detection, physics, (inverse) kinematics, sensors, robot controls, python bindings, and a network scripting environment.
ROS package implementing the Lightning Framework using OMPL
LightningROS is a ROS package implementing the Lightning PathPlanning Framework.
The code here was developed for ROS Feurte. For later ROS versions, see https://github.com/WPI-ARC/lightning_ros
This approach uses a path library to store previous experience while allowing generality by also planning from scratch. Please see the paper below for more details:
A RobotPathPlanning Framework that Learns from Experience
Dmitry Berenson, Pieter Abbeel, and Ken Goldberg
IEEE International Conference on Robotics and Automation (ICRA), May, 2012.
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