ハード制約を伴う高速な協調双腕動作計画
Fast Coordinated Bimanual Motion Planning With Hard Constraints
双腕ロボットが剛体を扱う際に必要な両手先間の相対変換を常に満たす高速な動作計画手法を提案し、シミュレーションと実機で検証した。
著者: Borna Paro, Luka Petrović, Ivan Marković
分類: cs.RO
原文アブストラクト
Bimanual manipulation enables complex tasks but introduces added complexity from the high number of degrees of freedom involved. When handling rigid objects, the relative transformation between the two end effectors must remain fixed throughout the motion, manifesting as a nonlinear equality constraint that confines the feasible configuration space to a measure-zero manifold and challenges conventional motion planners. We propose a fast bimanual motion planning pipeline that enforces this hard transformation constraint continuously along the entire path, using a leader-follower parameterization: the leader's configuration is treated as a free variable, while the follower's is determined via inverse kinematics to satisfy the constraint. We extensively evaluate the method in simulation across diverse environments, constraints and bimanual platforms, achieving 19.4x faster planning than prior work while guaranteeing continuous constraint satisfaction. Real-world experiments on a bimanual Kinova Gen3 setup, involving tray transport and elongated-object manipulation, validate direct transfer of planned trajectories to physical hardware.