Robohub.org
 

Video: Autonomous robot surgery on deformable tissue phantoms


by , and
13 November 2014



share this:
Goldberg_debridement-high-res

Automating repetitive surgical subtasks such as cutting and debridement can facilitate supervised tele-surgery, and reduce surgeon fatigue and procedure times. Programming these tasks can be difficult, however, in part because human tissue is deformable. Using the da Vinci Research Kit (DVRK) robotic surgical assistant, we explore a “Learning By Observation” (LBO) approach where we identify, segment, and parameterize sub-trajectories (“surgemes”) and sensor conditions to build a finite state machine (FSM) for each subtask. The robot then executes the FSM repeatedly in order to tune parameters and update the FSM structure.

A video from UC Berkeley’s new Center for Automation and Learning for Medical Robotics (Cal-MR) demonstrates how the approach can be used to automate two surgical subtasks: debridement of 3D Viscoelastic Tissue Phantoms (3d-DVTP), in which small target fragments are removed from a 3D viscoelastic tissue phantom, and Pattern Cutting of 2D Orthotropic Tissue Phantoms (2d-PCOTP), a step in the standard Fundamentals of Laparoscopic Surgery training suite in which a specified circular area must be cut from a sheet of orthotropic tissue phantom.

Initial physical experiments yielded a success rate of 96% for 50 trials of the 3d-DVTP subtask and 70% for 20 trials of the 2d-PCOTP subtask.

Paper under review:

Learning by Observation for Surgical Subtasks: Multilateral Cutting of 3D Viscoelastic and 2D Orthotropic Tissue Phantoms. Adithyavairavan Murali, Siddarth Sen, Ben Kehoe, Animesh Garg, Seth McFarland, Sachin Patil, W. Douglas Boyd, Susan Lim, Pieter Abbeel, Ken Goldberg, UC Berkeley. IEEE International Conference on Robotics and Automation. May, 2015.



tags: , , ,


Sachin Patil is postdoctoral researcher in the research groups of Prof. Pieter Abbeel and Prof. Ken Goldberg at the University of California, Berkeley.
Sachin Patil is postdoctoral researcher in the research groups of Prof. Pieter Abbeel and Prof. Ken Goldberg at the University of California, Berkeley.

Pieter Abbeel is currently on the faculty at UC Berkeley in the Department of Electrical Engineering and Computer Sciences.
Pieter Abbeel is currently on the faculty at UC Berkeley in the Department of Electrical Engineering and Computer Sciences.

Ken Goldberg is a roboticist and artist.
Ken Goldberg is a roboticist and artist.





Related posts :



Women in robotics you need to know about 2025

  06 Oct 2025
This global list celebrates women's impact across the robotics ecosystem and globe.

Robot Talk Episode 127 – Robots exploring other planets, with Frances Zhu

  03 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Frances Zhu from the Colorado School of Mines about intelligent robotic systems for space exploration.

Rethinking how robots move: Light and AI drive precise motion in soft robotic arm

  01 Oct 2025
Researchers at Rice University have developed a soft robotic arm capable of performing complex tasks.

RoboCup Logistics League: an interview with Alexander Ferrein, Till Hofmann and Wataru Uemura

and   25 Sep 2025
Find out more about the RoboCup league focused on production logistics and the planning.

Drones and Droids: a co-operative strategy game

  22 Sep 2025
Scottish Association for Marine Science is running a crowdfunding campaign for educational card game.

Call for AAAI educational AI videos

  22 Sep 2025
Submit your contributions by 30 November 2025.

Self-supervised learning for soccer ball detection and beyond: interview with winners of the RoboCup 2025 best paper award

  19 Sep 2025
Method for improving ball detection can also be applied in other fields, such as precision farming.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence