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- W4285189834 abstract "In an environment with limited space and dense goal configuration, the path of robot team is forced to coincide without much adjustment space, which is a challenge for multi-robot collaborative path planning. In this work, a novel Optimal Path and Timetable Planning (OPTP) method is proposed. The OPTP firstly generates the near-shortest paths for each robot by an RRT*-based planner. Then the timetables for each robot in the path-time space are created by the improved Particle Swarm Optimization (PSO) method. A heuristic bias is added to the PSO optimizer to efficiently mediate the conflict near the goal configuration. The OPTP achieves the near-shortest moving distance of the multi-robot team, as well as the near-optimal navigation makespan in face of complex obstacles, narrow channels, and dense goal configurations. The compared simulations and real-world experiments verify the effectiveness of the OPTP method." @default.
- W4285189834 created "2022-07-14" @default.
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- W4285189834 date "2022-07-01" @default.
- W4285189834 modified "2023-10-16" @default.
- W4285189834 title "Optimal Path and Timetable Planning Method for Multi-Robot Optimal Trajectory" @default.
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- W4285189834 doi "https://doi.org/10.1109/lra.2022.3187529" @default.
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