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- W4386963171 abstract "Many robots operate simultaneously in the same physical space, which gives rise to the problem of multi-robot motion planning, planning each robot avoiding all others and static obstacles. The centralized planning systems work on a joint configuration of all robots and incur a large complexity. The decentralized planning systems plan every robot separately, using a coordination system to eliminate collisions. Heat maps are useful to avoid congestion of robots at a place where the deliberative planner takes a route that minimizes heat. In the prioritization scheme, a lower-priority robot is responsible for avoiding collision with the higher-priority robots. The path-velocity decomposition approach solves the problem by fixing the path and optimizing the joint speed assignment of all robots to avoid collision. Cooperative evolution evolves a group of species together, making an ecosystem, encouraging cooperation, which is useful for multi-robot motion planning by taking the species as the individual robots’ trajectories." @default.
- W4386963171 created "2023-09-23" @default.
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- W4386963171 date "2024-01-01" @default.
- W4386963171 modified "2023-10-03" @default.
- W4386963171 title "Multi-robot motion planning" @default.
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- W4386963171 doi "https://doi.org/10.1016/b978-0-443-18908-1.00014-5" @default.
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