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.