RoLeMAP-IROS2022: Robot Learning in Medical Applications - IROS 2022 Kyoto International Conference Center (ICC Kyoto) Kyoto, Japan, October 27, 2022 |
Conference website | https://sites.google.com/view/rolemap-iros2022/ |
Submission link | https://easychair.org/conferences/?conf=rolemapiros2022 |
Submission deadline | August 31, 2022 |
A Panacea or an Alchemy? ——Benefits and Risks of Robot Learning in Medical Applications
October 27, 2022, Kyoto, Japan
Website: https://sites.google.com/view/rolemap-iros2022/
Motivation
Medical robots are revolutionizing healthcare. Nowadays, minimally invasive surgeries and interventions assisted by robots are firmly in the mainstream due to less operation time, small trauma, and fast postoperative recovery. Robot-assisted rehabilitation is also widely adopted as it is able to provide repetitive, intensive, and high-quality physics training. However, the current level of autonomy and cognitive ability of medical robots, compared to those in e.g. autonomous driving or mobile robots, are relatively low. This workshop aims to bring world-class researchers to present state-of-the-art research achievements and advances that introduce robot learning in medical applications. The organizers encourage participants to propose new challenges and solutions on this topic.
List of Topics
- Machine learning applied to (semi-)autonomous medical robotics
- (Deep) Reinforcement learning in medical robotics control
- Machine learning in medical robotics modeling
- Learning of surgical skills from demonstrations/videos
- Learning for compliant behaviors in medical tasks
- Medical robot sensing and localization based on machine learning
- Machine learning for autonomous (sub-)task learning and execution
- Machine-learning-based navigation and motion planning for medical robots
- Machine Learning for medical workflow modeling
- Machine Learning for evaluation of medical skills
- Machine-learning-based visual servoing for medical robotics
- Machine-learning-based human-robot interactive control
- Machine-learning-based intention recognition in rehabilitation training
Submission Guidelines - Call For Abstracts
This workshop requires the submission of an Extended Abstract, followed by a one-page PPT after the Extended Abstract is accepted. Details below:
- Extended Abstract: to be submitted as PDF (max 2 pages) in the standard IEEE conference format.
- One-page PPT: before the workshop, authors of the accepted paper are required to submit to the organizer (di.wu@kuleuven.be) a one-page PPT after the Extended Abstract is accepted, and the authors will have 3 minutes to introduce their work at the workshop.
Statement about the hybrid participation
This workshop will be held in a hybrid format - allowing for both in-person and remote participation.
The IROS 2022 organizing committee then decided to hold the IROS as a traditional in-person conference. Virtual attendance will also be an option for those who have travel restrictions by their organization or do not feel comfortable participating in large gatherings, with the recognition that the conference cannot be experienced fully while remote.
Invited Speakers
- Paolo Fiorini, University of Verona, Italy
- Arianna Menciassi, Scuola Superiore Sant'Anna of Pisa, Italy
- Pietro Valdastri, University of Leeds, England
- Iulian Iordachita, Johns Hopkins University, USA
- Michael Yip, University of California San Diego, USA
- Emmanuel Vander Poorten, Katholieke Universiteit Leuven, Belgium
- Mahdi Tavakoli, University of Alberta, Canada
- Elena De Momi, Politecnico di Milano, Italy
- Mitsuhiro Hayashibe, Tohoku University, Japan
- Bouri Mohamed, École polytechnique fédérale de Lausanne, Switzerland
- Tania Morimoto, University of California San Diego, USA
- Farokh Atashzar, New York University, USA
Organizing Committees
- Jing Guo, Guangdong University of Technology, China
- Di Wu, KU Leuven, Belgium/Delft University of Technology, the Netherlands
- Loris Fichera, Worcester Polytechnic Institute, USA
- Chao Zeng, Universität Hamburg, Germany
- Zhan Li, Swansea University, UK
- Farshid Alambeigi, University of Texas at Austin, USA
Venue
The conference will be held in Kyoto, Japan.
Contact
All questions about submissions should be emailed to di.wu@kuleuven.be
Sponsors
MicroPort®