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Anthropomorphic dual-arm coordinated control for a single-port surgical robot based on dual-step optimization

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Title: Anthropomorphic dual-arm coordinated control for a single-port surgical robot based on dual-step optimization
Authors: Bai, W
Wang, Z
Cao, Q
Yokoi, H
Fujie, MG
Yeatman, EM
Yang, G-Z
Item Type: Journal Article
Abstract: Effective teleoperation of the small-scale and highly-integrated robots for single-port surgery (SPS) imposes unique control and human-robot interaction challenges. Traditional isometric teleoperation schemes mainly focus on end-to-end trajectory mapping, which is problematic when applied to SPS robotic control, especially for dual-arm coordinated operation. Inspired by the human arm configuration in boxing maneuvers, an optimized anthropomorphic coordinated control strategy based on a dual-step optimization approach is proposed. Theoretical derivation and solvability of the problem are addressed, and the effectiveness of the method is further demonstrated in detailed simulation and in-vitro experiments. The proposed control strategy has been shown to perform dexterous SPS bimanual manipulation more effectively, involving less instrument-interference and is free from singularities, thereby improving the safety and efficiency of SPS operations.
Issue Date: Feb-2022
Date of Acceptance: 18-Jan-2022
URI: http://hdl.handle.net/10044/1/99184
DOI: 10.1109/tmrb.2022.3145673
ISSN: 2576-3202
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 72
End Page: 84
Journal / Book Title: IEEE Transactions on Medical Robotics and Bionics
Volume: 4
Issue: 1
Copyright Statement: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/P012779/1
Publication Status: Published
Online Publication Date: 2022-01-25
Appears in Collections:Bioengineering
Electrical and Electronic Engineering
Faculty of Natural Sciences