LapSurgie: Humanoid Robots Performing Surgery via Teleoperated Handheld Laparoscopy

πŸ“… 2025-10-03
πŸ“ˆ Citations: 0
✨ Influential: 0
πŸ“„ PDF
πŸ€– AI Summary
Current surgical robots are predominantly deployed in resource-rich settings, exacerbating disparities in healthcare access forεŸΊε±‚ and remote regions. To address this, we propose the first humanoid-robot-based laparoscopic teleoperation framework that operates without modifying commercial laparoscopic instruments. Our method employs an inverse-mapping strategy to satisfy the remote center of motion constraint, enabling precise control of handheld laparoscopic tools; it further integrates real-time stereo vision feedback and wrist-mounted instrument manipulation to ensure safety and intuitive operation. Experimental validation across multiple platforms demonstrates that the humanoid robot stably executes canonical laparoscopic maneuvers, providing preliminary evidence of feasibility in real minimally invasive surgical scenarios. This work represents the first integration of general-purpose humanoid robots into clinical teleoperated surgery, establishing a novel paradigm for flexible, low-cost deployment of surgical robotics in resource-constrained environments.

Technology Category

Application Category

πŸ“ Abstract
Robotic laparoscopic surgery has gained increasing attention in recent years for its potential to deliver more efficient and precise minimally invasive procedures. However, adoption of surgical robotic platforms remains largely confined to high-resource medical centers, exacerbating healthcare disparities in rural and low-resource regions. To close this gap, a range of solutions has been explored, from remote mentorship to fully remote telesurgery. Yet, the practical deployment of surgical robotic systems to underserved communities remains an unsolved challenge. Humanoid systems offer a promising path toward deployability, as they can directly operate in environments designed for humans without extensive infrastructure modifications -- including operating rooms. In this work, we introduce LapSurgie, the first humanoid-robot-based laparoscopic teleoperation framework. The system leverages an inverse-mapping strategy for manual-wristed laparoscopic instruments that abides to remote center-of-motion constraints, enabling precise hand-to-tool control of off-the-shelf surgical laparoscopic tools without additional setup requirements. A control console equipped with a stereo vision system provides real-time visual feedback. Finally, a comprehensive user study across platforms demonstrates the effectiveness of the proposed framework and provides initial evidence for the feasibility of deploying humanoid robots in laparoscopic procedures.
Problem

Research questions and friction points this paper is trying to address.

Addressing limited surgical robot access in rural areas
Developing humanoid robots for teleoperated laparoscopic surgery
Enabling precise control of standard laparoscopic instruments
Innovation

Methods, ideas, or system contributions that make the work stand out.

Humanoid robots enable teleoperated laparoscopic surgery
Inverse mapping controls standard tools with motion constraints
Stereo vision console provides real-time surgical feedback
πŸ”Ž Similar Papers
No similar papers found.
Z
Zekai Liang
Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA 92093 USA.
X
Xiao Liang
Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA 92093 USA.
Soofiyan Atar
Soofiyan Atar
Ph.D. Student at University of California San Diego
Surgical RoboticsBi-manipulationcomputer vision
S
Sreyan Das
Z
Zoe Chiu
School of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853 USA.
Peihan Zhang
Peihan Zhang
University of California San Diego
control systemrobotics
F
Florian Richter
Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA 92093 USA.
S
Shanglei Liu
UC San Diego Health, La Jolla, CA 92037 USA.
Michael C. Yip
Michael C. Yip
University of California at San Diego (UCSD)
RoboticsMachine LearningComputer VisionMedical Devices