日本フィジカルAI新聞

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群制御arXiv:2311.07100

非構造環境における物体の捕捉と輸送のための協調計画

Collaborative Planning for Catching and Transporting Objects in Unstructured Environments

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非ホロノミックな複数ロボットがネットを使って落下物を捕捉・輸送するための軌道計画手法を提案し、実機実験で有効性を示した。

著者: Liuao Pei, Junxiao Lin, Zhichao Han, Lun Quan, Yanjun Cao, Chao Xu, Fei Gao

分類: cs.RO

原文アブストラクト

Multi-robot teams have attracted attention from industry and academia for their ability to perform collaborative tasks in unstructured environments, such as wilderness rescue and collaborative transportation.In this paper, we propose a trajectory planning method for a non-holonomic robotic team with collaboration in unstructured environments.For the adaptive state collaboration of a robot team to catch and transport targets to be rescued using a net, we model the process of catching the falling target with a net in a continuous and differentiable form.This enables the robot team to fully exploit the kinematic potential, thereby adaptively catching the target in an appropriate state.Furthermore, the size safety and topological safety of the net, resulting from the collaborative support of the robots, are guaranteed through geometric constraints.We integrate our algorithm on a car-like robot team and test it in simulations and real-world experiments to validate our performance.Our method is compared to state-of-the-art multi-vehicle trajectory planning methods, demonstrating significant performance in efficiency and trajectory quality.

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