Toward efficient trajectory planning: the path-velocity decomposition
International Journal of Robotics Research
Social potential fields: a distributed behavioral control for autonomous robots
WAFR Proceedings of the workshop on Algorithmic foundations of robotics
Robot Motion Planning
Cooperative Mobile Robotics: Antecedents and Directions
Autonomous Robots
Feasible Trajectories for Mobile Robots with Kinematic and Environment Constraints
Intelligent Autonomous Systems, An International Conference
Multiple-Robot Motion Planning = Parallel Processing + Geometry
Revised Papers from the International Workshop on Sensor Based Intelligent Robots
Constraint-Based Optimization of Priority Schemes for Decoupled Path Planning Techniques
KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
On the Generation of Trajectories for Multiple UAVs in Environments with Obstacles
Journal of Intelligent and Robotic Systems
Multi-robot coordination using generalized social potential fields
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
An optimal algorithm for two robots path planning problem on the grid
Robotics and Autonomous Systems
Journal of Intelligent and Robotic Systems
k-color multi-robot motion planning
International Journal of Robotics Research
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This paper presents a geometric based approach for multiple mobile robot motion coordination. All the robot paths being computed independently, we address the problem of coordinating the motion of the robots along their own path in such a way they do not collide each other. The proposed algorithm is based on a bounding box representation of the obstacles in the so-called coordination diagram. The algorithm is resolution-complete. Its efficiency is illustrated by examples involving more than 100 robots.