Improved human-robot collaborative control of redundant robot for teleoperated minimally invasive surgery

Su, Hang; Yang, Chenguang; Ferrigno, Giancarlo; De Momi, Elena

Abstract

© 2016 IEEE. An improved human-robot collaborative control scheme is proposed in a teleoperated minimally invasive surgery scenario, based on a hierarchical operational space formulation of a seven-degree-of-freedom redundant robot. Redundancy is exploited to guarantee a remote center of motion (RCM) constraint and to provide a compliant behavior for the medical staff. Based on the implemented hierarchical control framework, an RCM constraint and a safe constraint are applied to the null-space motion to achieve the surgical tasks with human-robot interaction. Due to the physical interactions, safety and accuracy of the surgery may be affected. The control framework integrates an adaptive compensator to enhance the accuracy of the surgical tip and to maintain the RCM constraint in a decoupled way avoiding any physical interactions. The system performance is verified on a patient phantom. Compared with the methods proposed in the literature, results show that the accuracy of both the RCM constraint and the surgical tip is improved. The compliant swivel motion of the robot arm is also constrained in a defined area, and the interaction force on the abdominal wall becomes smaller.

Citation

Su, H., Yang, C., Ferrigno, G., & De Momi, E. (2019). Improved human-robot collaborative control of redundant robot for teleoperated minimally invasive surgery. IEEE Robotics and Automation Letters, 4(2), 1447-1453. https://doi.org/10.1109/LRA.2019.2897145

• Journal Article Type: Article
• Acceptance Date: Dec 31, 2018
• Online Publication Date: Feb 4, 2019
• Publication Date: Apr 1, 2019
• Deposit Date: Feb 7, 2019
• Publicly Available Date: Feb 8, 2019
• Journal: IEEE Robotics and Automation Letters
• Print ISSN: 2377-3766
• Electronic ISSN: 2377-3766
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 4
• Issue: 2
• Pages: 1447-1453
• DOI: https://doi.org/10.1109/LRA.2019.2897145
• Public URL: https://uwe-repository.worktribe.com/output/847862
• Publisher URL: http://doi.org/10.1109/LRA.2019.2897145
• Additional Information: Additional Information : (c) 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.