[IROS21] Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations

Abstract

We construct a Virtual Kinematic Chain (VKC) that readily consolidates the kinematics of the mobile base, the arm, and the object to be manipulated in mobile manipulations. Accordingly, a mobile manipulation task is represented by altering the state of the constructed VKC, which can be converted to a motion planning problem, formulated and solved by trajectory optimization. This new VKC perspective of mobile manipulation allows a service robot to (i) produce well-coordinated motions, suitable for complex household environments, and (ii) perform intricate multi-step tasks while interacting with multiple objects without an explicit definition of intermediate goals. In simulated experiments, we validate these advantages by comparing the VKC-based approach with baselines that solely optimize individual components. The results manifest that VKC-based joint modeling and planning promote task success rates and produce more efficient trajectories.

Publication
In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems
Song-Chun Zhu
Song-Chun Zhu
Chair Professor
Yixin Zhu
Yixin Zhu
Assistant Professor

I build humanlike AI.

Hangxin Liu
Hangxin Liu
Research Scientist

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