Brain-Actuated Control of Dual-Arm Robot Manipulation With Relative Motion

This paper describes the brain-actuated control of a dual-arm robot performing bimanual relative motion manipulation tasks, through the adoption of relative Jacobian matrix, wherein the dual-arm robot can be considered as a single manipulator and the movements of the end effectors can be calculated...

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Published inIEEE transactions on cognitive and developmental systems Vol. 11; no. 1; pp. 51 - 62
Main Authors Li, Zhijun, Yuan, Wang, Zhao, Suna, Yu, Zhenzhong, Kang, Yu, Chen, C. L. Philip
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.03.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN2379-8920
2379-8939
DOI10.1109/TCDS.2017.2770168

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Summary:This paper describes the brain-actuated control of a dual-arm robot performing bimanual relative motion manipulation tasks, through the adoption of relative Jacobian matrix, wherein the dual-arm robot can be considered as a single manipulator and the movements of the end effectors can be calculated by the relative motion. An online brain-machine interface (BMI) system based on multichannel steady-state visual evoked potentials was developed, and it was able to perform band-pass filtering and visual stimuli classification using support vector machines. Considering the relative motion in a constrained plane, the asymmetric bimanual manipulation can be transformed into 2-D control tasks through polar coordinate transformation such that the end effectors can achieve smooth direction-and-distance motion in the arbitrary position of the operational space. Moreover, the kinematics redundancy scheme, using online neuro-dynamics optimization, was developed for joint velocity optimization subject to physical constraints. Five individuals participated in the experiments and successfully fulfilled the given manipulation task.
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ISSN:2379-8920
2379-8939
DOI:10.1109/TCDS.2017.2770168