Join us in Rm2 (Room B-1) of Kyoto conference center on Oct. 27
The accepted abstracts for the workshop are listed as follows:
Workshop “Benefits and Risks of Robot Learning in Medical Applications” at IROS 2022 invites submissions of extended abstracts. The goals of this workshop are to provide a platform to discuss existing challenges, new ideas, and resources and disseminate the latest results.
FORMAT
Authors should submit an extended abstract (max 2 pages) as a PDF in the standard IEEE conference format, before the submission deadline of September 20, 2022. Before the workshop, authors of the accepted abstracts are required to submit a one-page slide to the organizer. They will have 3 minutes to introduce their work in a poster pitch session. The workshop will offer the Best Abstract Awards to the three best abstracts (First, Second and Third Place) with a prize of up to 500 USD (sponsored by MicroPort® MedBot®).
Live demos or videos are highly encouraged. Please communicate with the organizers if you need any help, for example, extra space, power, or equipment for your demo.
SUBMISSION INSTRUCTIONS
The manuscript should be submitted through the EasyChair platform: https://easychair.org/my/conference?conf=rolemapiros2022. The manuscripts will be reviewed by at least two reviewers and selected based on their novelty, contribution, relevance, technical clarity, and presentation. Accepted manuscripts will be available on the workshop homepage. The authors of the accepted manuscripts are expected to give a 3 min presentation of their work either on-site or remotely.
SUBMISSION LINK: here
TOPICS OF INTEREST
Topics of interest include but are not limited to:
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
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-based human-robot interactive control
DISCLAIMER
The authors still retain the copyrights for their submissions. This means that the author has full control over the work (e.g. retains the right to republish to conferences/journals, reuse, distribute, etc.).
As a sponsor, you will still receive many of the typical benefits normally offered in physical conferences/workshops, including e.g. naming the best abstract award, priority exhibit location, acknowledgment of sponsorship on workshop printings, announcements during the workshop, and/or on the workshop website.
If you have any questions about sponsorship, please email the workshop co-organizer.
If you are interested in being a student assistant organizer for this workshop, please email the workshop co-organizer.