IROS 2026 Workshop
2nd International Workshop on Intelligent Robotics for Soft Tissue Surgery
See you on September 27 2026,
Pittsburgh, U.S.
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Abstract
Abstract
In this workshop, we will focus on frontier challenges and advancements in intelligent robotics for soft tissue surgery. Automating surgical procedures safely is critical to enhance the effectiveness of robotic surgery autonomy to broaden the system’s clinical applicability. Recent advances have pushed forward intelligent perception, decision making, and motion strategies targeting particular surgical tasks. However, challenges remain in soft tissue analysis, situation inference and prediction, active safety awareness, etc., and the demands of real-world surgical environments.
In this workshop, we will focus on frontier challenges and advancements in intelligent robotics for soft tissue surgery. Automating surgical procedures safely is critical to enhance the effectiveness of robotic surgery autonomy to broaden the system’s clinical applicability. Recent advances have pushed forward intelligent perception, decision making, and motion strategies targeting particular surgical tasks. However, challenges remain in soft tissue analysis, situation inference and prediction, active safety awareness, etc., and the demands of real-world surgical environments.
In this workshop, we would like to have discussions on several critical areas:
In this workshop, we would like to have discussions on several critical areas:
1. Physics-Informed and Data-Driven Tissue Modeling: Integrating physics-informed neural networks to enable real-time, patient-specific soft tissue deformation modeling and prediction
1. Physics-Informed and Data-Driven Tissue Modeling: Integrating physics-informed neural networks to enable real-time, patient-specific soft tissue deformation modeling and prediction
2. Multimodal Sensing and Situational Awareness: Fusing vision, tactile, and/or force feedback through multimodal foundation models for robust intraoperative tissue tracking and spatial understanding
2. Multimodal Sensing and Situational Awareness: Fusing vision, tactile, and/or force feedback through multimodal foundation models for robust intraoperative tissue tracking and spatial understanding
3. Learning-Based Intelligent Control for Surgery Interaction: Leveraging reinforcement learning, sim-to-real transfer, and online adaptation to handle the uncertainty of soft tissue dynamics in surgical environments
3. Learning-Based Intelligent Control for Surgery Interaction: Leveraging reinforcement learning, sim-to-real transfer, and online adaptation to handle the uncertainty of soft tissue dynamics in surgical environments
4. Innovative Surgical Robot Design: Designing continuum, soft, and miniaturized robotic platforms purpose-built for safe and dexterous interaction with deformable biological tissues
4. Innovative Surgical Robot Design: Designing continuum, soft, and miniaturized robotic platforms purpose-built for safe and dexterous interaction with deformable biological tissues
5. Foundation Models and Decision-Making Autonomy in Surgery: Leveraging vision-language models and surgical foundation models to enhance intraoperative scene understanding and context-aware autonomy
5. Foundation Models and Decision-Making Autonomy in Surgery: Leveraging vision-language models and surgical foundation models to enhance intraoperative scene understanding and context-aware autonomy
By bringing together experts from diverse fields such as surgical robotic systems, planning and control, machine learning, and clinical practice, this workshop aims to foster interdisciplinary collaboration and ultimately the advancement of robotic surgery and improved healthcare advances.
By bringing together experts from diverse fields such as surgical robotic systems, planning and control, machine learning, and clinical practice, this workshop aims to foster interdisciplinary collaboration and ultimately the advancement of robotic surgery and improved healthcare advances.
* * * The arrangement details of the workshop will be announced soon! * * *
* * * See our workshop introduction for last year's (2025) workshop here * * *
See you on Sept. 27th, Rm 315!
See you on Sept. 27th, Rm 315!
We are thrilled to welcome all experts covering robotics, artificial intelligence, medicine, biomedical engineering, etc., to come to our workshop for in-depth discussion about surgical robotics, robot autonomy in surgery, soft tissue manipulation, soft robotics, etc.
We have multiple workshop author attendees who bring the latest output and insights to the site. Feel free to drop by and have in-person discussion with them! We expect this workshop to create a casual, multi-discipline, and fruitful connection atmosphere for the advances of and beyond the above topics.
You are also welcomed to check our workshop poster on the right.
Speakers
Speakers
Dr. Fei Liu
Dr. Fei Liu
Assistant Professor, Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville
Robot Autonomy
Dr. Yutong Ban
Dr. Yutong Ban
Assistant Professor, Shanghai Jiaotong University Global College (SJTU Global College)
Motion Control
Dr. Yueming Jin
Dr. Yueming Jin
Assistant Professor, Department of Biomedical Engineering, National University of Singapore
Learning-Driven Scene Understanding
Organizers
Organizers
Dr. Xiangyu Chu
Dr. Xiangyu Chu
Research Assistant Professor, Department of Mechanical and Automation Engineering, CUHK
Local Organizers
Local Organizers
Workshop Information
Workshop Information
9:00 am - 12:30 pm, Sept. 27th
More details will be released once settled. Stay tuned!
Sponsors
Sponsors
IEEE RAS Technical Committees on Automation in Health Care Management
IEEE RAS Technical Committees on Automation in Health Care Management
The IEEE RAS TC on Automation in Health Care Management (AHM) promotes the application of theoretical and technological automation approaches in healthcare, communication and information processing, allocation and management of technical, human and financial resources.
Multi-Scale Medical Robotics Center (MRC)
Established in 2020 with support from InnoHK, the Multi-Scale Medical Robotics Center (MRC) is a collaborative initiative led by CUHK in partnership with world-leading institutions. Bringing together medicine and engineering, MRC focuses on advancing AI, imaging, and robotic technologies to develop innovative, minimally invasive surgical solutions. In the long run, it aims to become a medical robotics incubation hub, fostering start-ups, providing training and pre-clinical evaluation services, and accelerating the commercialization of next-generation surgical technologies.
Thanks for the generous support from our sponsors!
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