Diffusion Policy for Coordinated Control of a Nonholonomic Mobile Base and Dual Arms in Door Opening and Passing
Shangqun Yu, Matthew En, Daniel Wu, Sangjun Park, Ziyi Zhou, Seyed Fakoorian, Donghyun Kim

TL;DR
This paper introduces a diffusion-based visuomotor control policy enabling a robot to coordinate dual arms and a nonholonomic base for complex door opening and passing tasks, demonstrating robustness and high success rates.
Contribution
It presents the first end-to-end diffusion policy for coordinated control of manipulation and locomotion in complex, long-horizon tasks like door opening and passing.
Findings
High success rate in opening and traversing damped pull doors.
Demonstrates robustness to external disturbances.
Achieves coordinated control of manipulation and locomotion.
Abstract
Opening heavy, self closing doors, especially those that require pulling remains a long standing challenge in robotics. Humans naturally employ both arms in a dexterous manner, rotating the handle, widening the gap, holding the door, switching arms when needed, and moving through while maintaining clearance. To replicate such behaviors, a robot must perform a long sequence of motions spanning multiple stages and interactions with different parts of the door. Traditional approaches rely on state machines that transition between manually defined stages (e.g., pulling after the knob is rotated, passing after the gap is sufficiently wide). While intuitive, these methods lack robustness, as hand crafted trajectories fail to generalize to the diversity of real world conditions without extensive engineering effort. Recent advances in imitation learning offer a scalable alternative, yet no…
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