B-spline Policy: Accelerating Manipulation Policies via B-spline Action Representations

Published
Source
arXiv
Paper number
601
Field
Robotics
arXiv ID
2607.09648

Key points

  • It replaces discrete action chunking with continuous B-spline curves to accelerate execution through temporal rescaling.
  • Inference-time segment alignment ensures smooth transitions between adjacent B-spline segments, which is essential for high-speed execution.
  • On Table Cleaning, 4x speed reduces completion time by 50%, from 23.57 seconds to 11.80 seconds, while maintaining success rate at 13 out of 20 versus 14 out of 20.
  • It integrates as a drop-in replacement for both Diffusion Policy and ACT backbones, requiring minimal pipeline changes.
  • On PushT simulation, 4x speed improves the score from 0.59 to 0.73 and reduces time from 7.19 seconds to 2.87 seconds.
  • It automatically allocates control granularity to match task stages, from fast reaching to precise grasping.

Paper links

External research summaries. These are not HDATF publications or measured product results.

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