非ホロノミック運動計画のための微分同相ベクトル場整列
DIVAL: Diffeomorphic Vector-Field Alignment for Nonholonomic Motion Planning
ロボットの初期方位とベクトル場の向きの不一致を微分同相変形で解消し、障害物回避と目標収束を保証する運動計画法を提案した。
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?
4. どうやって有効だと検証した?
5. 議論はある?
6. 次に読むべき論文は?
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著者: Yike Qiao, Xiaodong He, An Zhuo, Zhiyong Sun, Weimin Bao, Zhongkui Li
分類: cs.RO, eess.SY
原文アブストラクト
Conventional vector-field-based motion planners for nonholonomic robots consist of two steps: first designing a nominal vector field and then controlling the robot to follow it to approach the target. However, a nonholonomic robot cannot follow the vector field instantaneously and may collide with obstacles, due to the inevitable mismatch between the robot's initial heading and the vector field's direction. This paper proposes a diffeomorphic vector-field alignment (DIVAL) method, which aligns the vector field's direction with the robot's initial heading so the robot can follow the vector field from the start. Specifically, the nominal vector field is locally reshaped by applying a diffeomorphic deformation to the workspace, such that the reshaped vector field has the same direction as the robot's heading at the initial position and coincides with the nominal vector field outside the deformed region. Since DIVAL eliminates the initial heading mismatch, the nonholonomic robot can maintain heading alignment with the reshaped vector field throughout the motion. This heading alignment further ensures that the robot preserves the nominal vector field's properties, including obstacle avoidance, convergence to the target, and smooth control signals. Numerical simulations provide vector-field-tracking baselines where the nominal vector fields are reshaped with DIVAL. Compared to the original baselines, the proposed method achieves collision-free convergence in all trials and avoids control discontinuities. Hardware experiments on a ground vehicle further demonstrate collision-free convergence across different targets and initial conditions under real-world disturbances.