2002 · 231 citations · 4 references
ComputingComputer ScienceRobotics EngineeringMotion PlanningPath PlanningRoboticsCollision AvoidanceMulti-robot CoordinationObstacle AvoidanceRobot Motion PlanningTrajectory GenerationTrajectory OptimizationArtificial Potential FieldsCoordinationMulti-robot Path PlanningMulti-robot TrajectoriesMulti-robot Trajectory PlanningRobot Path PlanningRobotic Path PlanningTrajectory Planning
A technique for coordinating the paths of multiple robots in the presence of obstacles is presented. To accomplish this, the robots are prioritized. A path that avoids only the stationary obstacles is planned for the highest-priority robot. A trajectory for the next-lowest priority robot is planned so that it avoids both the stationary obstacles and the higher-priority robot, which is treated as a moving obstacle. This process is continued until trajectories for all of the robots have been planned. The planning is accomplished by first mapping the real space of the robots into configuration-space-time. Potential fields are applied around the c-space-time obstacles and are used to modify the path of the robot. The advantage of using artificial potential fields is that they offer a relatively fast and efficient way to solve for safe trajectories around both stationary and moving obstacles. In the method used to perform path planning, a trial path through the c-span-time is chosen and then modified under the influence of the potential fields until an appropriate path is found.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Global path planning using artificial potential fields
Charles W. Warren · 2003 · 366 citations
Engineering, Mechanical Engineering, Robotics Engineering +16
M. Erdmann, Tomás Lozano‐Pérez · 1986 · 208 citations
Fast motion planning for multiple moving robots
Stephen J. Buckley · 2003 · 168 citations