2nd Workshop on Machine Learning in Medical Robotics: Bridging ML Theory and Clinical Frontiers

The Zoom meeting link for remote attendees: Meeting link

October 14, 14:00 to 18:00

Location: Room 13, Abu Dhabi National Exhibition Centre (ADNEC)

Please register for this workshop in IROS to attend our workshop!

For both in-person and remote attendees, registration is required!

*Please make sure you register for our workshop (FOR FREE) via the above link before October 12, 2024.

The organizers will check your name before entering room 13. Without registration, you will not be admitted to the meeting.

Program

Bring your questions to our panelists!

Please submit your questions through the following link, and we will present them to our panelists during the panel discussion. We especially encourage students to ask about the publication and peer review process!

AIM AND SCOPE

Machine learning (ML), encompassing deep learning and deep reinforcement learning, holds the transformative potential to reshape healthcare robotics. These advanced ML models have great potential to push the boundaries of what’s possible. However, compared to the rapid pace of the iteration of ML models, the integration in the medical robotics field is relatively slow.

This workshop is designed to serve as a nexus between theoretical ML and clinical frontiers. It aims to facilitate meaningful dialogues among engineers in the field of medical robotics, researchers specializing in ML/robot learning, as well as clinicians. A particular emphasis will be placed on the newest applications utilizing the latest algorithms, such as LLM and generative AI. Moreover, a comprehensive exploration of other ML algorithms is also critical to our agenda.

TOPICS OF INTEREST

This workshop will specifically focus on advancements in ML techniques and the latest developed algorithms for medical robots’ perception, modeling, control, and navigation around the following key themes:

Advancements in autonomous robotics surgery
ML in medical robotics modeling
Medical robot sensing and localization based on ML
Applications of generative AI and Large Language Models (LLM) in medical robotics
Autonomous (sub-)task learning and execution
Navigation and motion planning for medical robots
Solutions on ethical implications, data privacy and security

ORGANIZERS

Di Wu

Assistant Professor

University of Southern Denmark

Jing Guo

Associate Professor

Guangdong University of Technology

Loris Fichera

Assistant Professor

Worcester Polytechnic Institute

Farshid Alambeigi

Assistant Professor

University of Texas at Austin

Yao Zhang

Senior PhD student

KU Leuven

Michael Yip

Associate Professor

University of California San Diego

IMPORTANT DATES

Workshop date: October 14, 2024 14:00
Call for sponsorship deadline: September 15, 2024
Call for student assistant organizer deadline: August 15, 2024
Deadline for abstracts/posters submission: Extended to September 30, 2024 (Submission link: here)
Notification of acceptance: A notification will be given on a rolling basis within 14 days of submission.
Final version submission: October 1, 2024
IROS Conference: October 14 to October 18, 2024