The field of surgical robotics has significantly grown over the past few decades to enable the use of robotic systems in various medical procedures. However, the deployment and integration of robots in the operation theatre has been hampered by issues such as safety concerns, limited sensory perception and situational awareness for the surgeon, and having to operate in hard-to-reach and confined spaces. Some of these concerns can be addressed via the design and development of novel control strategies. This workshop will bring together researchers, industry engineers, and scientists of different backgrounds and provide an opportunity to discuss challenges for designing closed-loop control strategies and control software implementation for surgical robot deployment. The goals of this workshop are to broadly engage the surgical robotics community, leverage the momentum of the existing community by presenting the latest developments in surgical robot control and implementation, and to define the roadmap for future enhancements.
Dexterous robotic manipulators have rapidly become a rich and diverse area of research, with many designs and applications demonstrated. Dexterous robots can traverse confined spaces, manipulate objects in complex environments, and conform to curvilinear paths in space. Recently, there have seen increasing efforts aimed at implementing autonomous dexterous robots to push the frontiers of minimally invasive surgery. Examples include autonomous needle insertion robots for prostate brachytherapy and biopsy of tumors, concentric tube robots for beating-heart intracardiac steerable needle surgery and lung biopsy, continuum/soft robots for resection of bladder cancer, and Natural Orifice Endoscopic Trans-luminal Surgery.
However, there are several challenges hampering the integration of dexterous robots in operation theaters. Examples of such challenges are sensing technologies for dexterous robots, situational awareness of operators in dexterous manipulation, safe control of highly articulated multi-arm or continuum robots. Besides technology development, the practical meaning of autonomy in dexterous surgical robots and the required technologies are the subject of intense debate and development. Current classification of surgical autonomy encompasses six basic levels: Level 0: no autonomy; Level 1: robot assistance; Level 2: task autonomy; Level 3: conditional autonomy; Level 4: high autonomy; Level 5: full autonomy. Most of the current research is focused on levels 2 and 3. In this workshop, we will discuss the surgical needs for transitioning to the high level of autonomy in dexterous robots as well as the necessary technologies required for exploring the transition from level 2 and 3 to level 4 and 5.
From this perspective, this workshop will bring together researchers, industry engineers, and scientists of different backgrounds and provide an opportunity to discuss these issues regarding technology development for autonomous dexterous surgical . The topics of interest include but are not limited to the following:
Image-guided control and visual servoing of surgical robots
Dynamics models and dynamics-based controllers
Stability, disturbance rejection, and robustness of control strategies in surgical robotics
Cooperative or semi-autonomous control of surgical robots
Motion planning for surgical tasks
Force sensing and force control
Model-less and data driven control
Application of deep learning in control of surgical robots
Integration of sensing techniques in control of surgical robots
Novel control approaches for human and surgical robot interface
Ethics of robot autonomy
Russell Taylor, Johns Hopkins University
Pierre Dupont, Boston Children's Hospital, Harvard Medical School
Tim Salcudean, University of British Columbia
Nabil Simaan, Vanderbilt University
Ron Alterovitz, University of North Carolina at Chapel Hill
Rajni Patel, University of Western Ontario
Stefano Stramigioli, University of Twente
Caleb Rucker, University of Tennessee
David Camarillo, Stanford University
Jason Chan, The Chinese University of Hong Kong
David Noonan, Auris Health, Inc.
Paul Griffiths , Intuitive Surgical
Yash Chetan Chitalia, Georgia Institute of Technology
We invite participants to submit short papers (2~4 pages) of relevant work via EasyChair. The accepted contributions will be posted on the workshop website but they will not appear in the official IEEE proceedings. The reviewing is single blind by a committee formed by the workshop organizers and invited speakers. The template for the contributions is IEEE RAS workshop (Latex).
The submission web page is
https://easychair.org/conferences/?conf=icra2019-workshop.
Accepted contributions will have the opportunity to present their work in a poster session and a 2 min presentation at the workshop. Selected contributions (short paper submitted only to the workshop) will be invited for a special issue on Journal of Medical Robotics Research
Paper submission deadline: 15 April 2019 29 April 2019
Notification of acceptance: 10 May 2019
Camera-ready version: 15 May 2019
Workshop day: 23 May 2019 (Full Day)
Deadlines are: 11.59p.m [GMT/UTC +0]
1st Place Award
Christophe Chautems and Bradley Nelson, "Control algorithms for multi-segment variable stiffness magnetic catheters".
2nd Place Award
Ziyang Dong, Xiaomei Wang, Zhuoliang He, Justin D.L. Ho, Wai Lun Tang, Yufu Tao, Alex P.W. Lee and Ka-Wai Kwok, "Experimental Validation of Autonomous Motion Control with Standard Cardiac Electrophysiology Catheter".
Mahdi Tavakoli, Professor, PhD, P.Eng.
Department of Electrical & Computer Engineering, University of Alberta, AB, Canada.
Email: mahdi.tavakoli@ualberta.ca
Christos Bergeles, Senior Lecturer, PhD.
Department of Imaging and Biomedical Engineering, King’s College London, London, UK.
Email: christos.bergeles@kcl.ac.uk
Kwok Wai Samuel Au, Associate Professor, PhD.
Mechanical and Automation Engineering Department, Chinese University of Hong Kong, Shatin, N.T. Hong Kong SAR, China.
Email: samuelau@mae.cuhk.edu.hk
Mohsen Khadem, Lecturer, PhD.