Vision based relative position estimation in surgical robotics.

Muthukrishnan, Ramkumar; Kannan, Somasundar; Prabhu, Radhakrishna; Zhao, Yafan; Bhowmick, Parijat; Hasan, Md Junayed

Abstract

Teleoperation-based Robotic-Assisted Minimally In-vasive Surgery (RAMIS) has gained immense popularity in medical field. However, limited physical interaction between the surgeon and patient poses a significant challenge. In RAMIS, the surgeon operates the robotic system remotely, which can diminish the personal connection and raise concerns about immediate responsiveness to unforeseen situations. Additionally, patients may perceive RAMIS as riskier due to potential technological failures and a lack of direct surgeon control. Surgeons have identified accidental clashes between surgical instruments and tissues as a critical issue. This work presents a technique that measures the distance between a surgical tool and tissue by extracting feature points from a Static Virtual Marker (SVM) and employing a classic feature detection algorithm Fast Oriented and Rotated Brief (ORB). Using a customized surgical robot and a ROS-based transform measurement system, this approach was successfully validated in the Gazebo simulation environment, offering safer surgical operations.

Citation

MUTHUKRISHNAN, R., KANNAN, S., PRABHU, R., ZHAO, Y., BHOWMICK, P. and HASAN, M.J. 2023. Vision based relative position estimation in surgical robotics. In Proceedings of the 2023 Network, multimedia and information technology international conference (NMITCON 2023), 1-2 September 2023, Bengaluru, India. Piscataway: IEEE [online], article number 10275973. Available from: https://doi.org/10.1109/NMITCON58196.2023.10275973

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2023 Network, multimedia and information technology international conference, NMITCON 2023
• Start Date: Sep 1, 2023
• End Date: Sep 2, 2023
• Acceptance Date: Jul 30, 2023
• Online Publication Date: Oct 17, 2023
• Publication Date: Dec 31, 2023
• Deposit Date: Nov 13, 2023
• Publicly Available Date: Nov 13, 2023
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• ISBN: 9798350300826
• DOI: https://doi.org/10.1109/NMITCON58196.2023.10275973
• Keywords: Image processing; Robot operating system; Gazebo simulation; Surgical robot
• Public URL: https://rgu-repository.worktribe.com/output/2139475