構造化環境におけるホロノミック車両のための高速準時間最適運動計画
Fast Near Time-Optimal Motion Planning for Holonomic Vehicles in Structured Environments
磁気浮上式ホロノミック車両のための、自由空間コリドーと運動プリミティブを用いた最適化ベースの準時間最適軌道生成手法を提案し、シミュレーションと実機で検証した。
詳しい要約
1. どんなもの？
2. 先行研究と比べてどこがすごい？
3. 技術・手法の肝は？
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5. 議論はある？
6. 次に読むべき論文は？
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著者: Louis Callens, Bastiaan Vandewal, Ibrahim Ibrahim, Jan Swevers, Wilm Decré
分類: math.OC, cs.RO
原文アブストラクト
This paper proposes a novel and efficient optimization-based method for generating near time-optimal trajectories for holonomic vehicles navigating through complex but structured environments. The approach aims to solve the problem of motion planning for planar motion systems using magnetic levitation that can be used in assembly lines, automated laboratories or clean-rooms. In these applications, time-optimal trajectories that can be computed in real-time are required to increase productivity and allow the vehicles to be reactive if needed. The presented approach encodes the environment representation using free-space corridors and represents the motion of the vehicle through such a corridor using a motion primitive. These primitives are selected heuristically and define the trajectory with a limited number of degrees of freedom, which are determined in an optimization problem. As a result, the method achieves significantly lower computation times compared to the state-of-the-art, most notably solving a full Optimal Control Problem (OCP), OMG-tools or VP-STO without significantly compromising optimality within a fixed corridor sequence. The approach is benchmarked extensively in simulation and is validated on a real-world Beckhoff XPlanar system
