Cal-MR: Center for Automation and Learning for Medical Robotics

Time 2021-11-05 21:04:57

Web Name: Cal-MR: Center for Automation and Learning for Medical Robotics

WebSite: http://cal-mr.berkeley.edu

ID:223004

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keywords:Cal-MR, cal-mr, University of California Berkeley, medical robotics, automation, learning, machine learning, optimization, robotics, motion planning, belief space planning, da Vinci surgical system, Raven, surgical robots, brachytherapy, 3d printing, needle steering, steerable needles, ken goldberg, pieter abbeel, sachin patil, citris
description:The Center for Automation and Learning for Medical Robotics (Cal-MR) is a new research center headed by Prof.Ken Goldberg (IEOR, EECS, and Department of Radiation Oncology at UCSF) and Prof. Pieter Abbeel (EECS). The Cal-MR was founded in October 2014 to build on recent advances in research in automation and machine learning techniques to significantly improve robots and devices to assist experts in medicine and surgery. Cal-MR is affiliated with the College of Engineering at the University of California Berkeley.
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Cal-MR: Center for Automation and Learning for Medical Robotics

UC Berkeley's Center for Automation and Learning for Medical Robotics(Cal-MR) advances research in automation and machine learning toimprove robots and devices for medicine and surgery.

Cal-MR is co-directed by Profs. Pieter Abbeel (EECS) and Ken Goldberg(IEOR, EECS, School of Information, Art Practice at UC Berkeley, andDepartment of Radiation Oncology at UCSF) and ResearcherDr. Sachin Patil. Cal-MR, established in Nov 2014, is based in theCollege of Engineering at UC Berkeley and is funded by a major grantfrom the National Science Foundation (NSF), from companies includingIntuitive Surgical and Google, and from private donors. Cal-MRsupports research with postdocs, grads, and undergraduate students andcollaborations with leading physicians and researchers at UC SanFrancisco, UC Davis, UC Santa Cruz, University of Washington, JohnsHopkins, and Stanford.

Recent News Ken Goldberg in MIT Tech Review

Nimble-Fingered Robot Outperforms the Best Human Surgeons

Cal-MR presents at ICRA 2016

TSC-DL: Unsupervised Trajectory Segmentation of Multi-Modal Surgical Demonstrations with Deep Learning. Autonomous Multiple-Throw Multilateral Surgical Suturing with a Mechanical Needle Guide and Optimization based Needle Planning.

CNET News: How robots could be your future surgeons

Autonomous Robot Surgery: Performing Surgical Subtasks without Human Intervention

Automating repetitive surgical subtasks such as suturing, cutting and debridement can reduce surgeon fatigue and procedure times and facilitate supervised tele-surgery. Programming is difficult because human tissue is deformable and highly specular.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 to tune parameters and if necessary update the FSM structure.

We evaluate the approach on 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. We describe the approach and physical experiments, which yielded a success rate of 96% for 50 trials of the 3d-DVTP subtask and 70% for 20 trials of the 2d-PCOTP subtask.

For more details, please refer to the paper: [pdf]

Press: New York Times, Medgadget

OSTP/NRI Workshop: Brainstorming Workshop on Safety Robotics for Ebola Workers

Friday Nov 7 2014; 8am - 1 pm, PST (invitation only)
Locations: White House Office of Science and Technology Policy (OSTP), Worcester Polytechnic Institute; Texas A University of California, Berkeley;

This one-day, invitation-only exploratory workshop aims to understand how tele-robots and related technologies might assist patients and healthcare and laboratory workers. The goal is to identify both near-term and longer-term research needs.

Press: New York Times

Cal-MR | 2111 Etcheverry Hall | Berkeley, CA

TAGS:Center for Cal MR Automation Medical Robotics and Cal-MR cal-mr UniversityofCali

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The Center for Automation and Learning for Medical Robotics (Cal-MR) is a new research center headed by Prof. Ken Goldberg (IEOR, EECS, and Department of Radiation Oncology at UCSF) and Prof. Pieter Abbeel (EECS). The Cal-MR was founded in October 2014 to build on recent advances in research in automation and machine learning techniques to significantly improve robots and devices to assist experts in medicine and surgery. Cal-MR is affiliated with the College of Engineering at the University of California Berkeley.

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