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A Motion Planning Approach for Marsupial Robotic Systems

Paul G. Stankiewicz, Stephen Jenkins, Galen E. Mullins, Kevin Wolfe, Matthew S. Johannes, Joseph L. Moore

Year
2018
Citations
7

Abstract

This paper outlines an algorithmic approach for the automatic coordination and planning of heterogeneous multi-robot teams. Specifically, this work addresses the marsupial-based subset of multi-robot teams, where “carrier” robots transport and deploy “passenger” robots. The approach starts with a high-level watershed segmentation of the world to determine the free-space regions accessible by each robot in the team. Topological graph planning then decides the high-level motion plan for each robot between these free-space regions. Finally, a low-level path planner generates optimized, dynamically-feasible trajectories for each robot along the topological path. The performance of the approach is evaluated in simulation and through hardware experiments.

Keywords

Motion planningRobotComputer sciencePlannerPath (computing)Plan (archaeology)Configuration spaceMotion (physics)GraphArtificial intelligence

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