Liberating Humanity from Heavy Labor: Dual-Arm Coordination and Teleoperation Control for an Assistive Robot
Lei Wang, Ruohan Wang, Honghao Lyu, Na Dong, Zhongwei Zhang, Yungang Hao, Haihui Yuan, Haiteng Wu, Geng Yang
- Year
- 2024
- Citations
- 2
Abstract
With the increasing demand for smart assistive robotics, the interaction between robots and humans, as well as the interaction within robots themselves, have become increasingly important in human-robot collaboration. However, conventional autonomous robot control strategy struggles to flexibly adapt to dynamic and unstructured surroundings, such as household and medical environments. This paper proposes a dual-arm coordination control strategy based on admittance control, targeting work scenarios that require direct human involvement, to free human labor. The dual-arm robot is divided into master and slave arms, to play different roles during human-robot collaboration. The master arm is directly controlled by the operator through teleoperation and shares motion information. The slave arm, equipped with a force sensor at its end-effector, maintains the contact force with the object in the required directions through the admittance control algorithm and traces the trajectory of the master arm in other directions. Finally, an object-handling task for dual-arm is conducted to verify the feasibility of the proposed strategy. The results demonstrate the dual-arm coordination control strategy exhibits excellent maneuverability.
Keywords
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