2024/03/26 by Guoping Pan, Qingwei Ben, Pan, Guoping +15 · 1 voice · 8 citations
Computer Science · #FOS: Computer and information sciences #Robotics (cs.RO) #cs.RO
paper · pdf · doi:10.48550/arxiv.2403.17367
arxiv published 2024/03/26 · arxiv updated 2025/02/08
Fully leveraging the loco-manipulation capabilities of a quadruped robot equipped with a robotic arm is non-trivial, as it requires controlling all degrees of freedom (DoFs) of the quadruped robot to achieve effective whole-body coordination. In this letter, we propose a novel framework RoboDuet, which employs two collaborative policies to realize locomotion and manipulation simultaneously, achieving whole-body control through mutual interactions. Beyond enabling large-range 6D pose tracking for manipulation, we find that the two-policy framework supports zero-shot transfer across quadruped robots with similar morphology and physical dimensions in the real world. Our experiments demonstrate that RoboDuet achieves a 23% improvement in success rate over the baseline in challenging loco-manipulation tasks employing whole-body control. To support further research, we provide open-source code and additional videos on our website: locomanip-duet.github.io.