Efficient Bezier Velocity Optimization for Free-Floating Space Manipulators
What happened
FAVOR completes 30 of 36 tracking cases, versus 15 for single-step QP, and all 36 interception instances, versus 22 for the spline baseline. It optimizes Bezier joint-velocity curves with linear velocity, acceleration, and continuity constraints.
Decision dimension is independent of rollout resolution. Analytical recursive sensitivities provide task and clearance gradients through the coupled base-arm motion.
With a seven-DoF arm and five simulated spacecraft models, FAVOR achieves 99.8% point-to-point success with 1.779 s mean computation, versus 62.9% and 50.270 s for an IK-initialized position-spline baseline. A controlled ablation shows that finite differences increase mean planning time 4.7-fold.
Sources & evidence
- arXiv Robotics (cs.RO) Reporting source
Efficient Bezier Velocity Optimization for Free-Floating Space Manipulators โ
https://arxiv.org/abs/2609.31880