About this Workshop

Medical robotics has transformed patient care, offering greater precision and minimally invasive procedures. However, current medical robotic systems often face challenges in real-world settings, where adaptability, learning, and intuitive interaction are essential for successful deployment.

This workshop will explore the intersection of embodied intelligence, artificial intelligence, robotics, and human-robot collaboration, aiming to develop more intelligent, autonomous, and responsive medical robots. Leading researchers, physicians, and industry experts will discuss recent advancements in learning for medical robots, adaptive control strategies, and human-in-the-loop interaction models.

Unlike previous workshops that focused on learning in medical robotics, this workshop will emphasize embodied intelligence, specifically, how medical robots interact with their environment and humans. It will also address patient-specific adaptability and the challenges of real-world deployment. We will showcase innovative approaches that enable medical robots to operate effectively in dynamic environments, anticipate human intent, and improve patient outcomes. The workshop will center around two major applications in medical robotics: surgical robots and rehabilitation robots.

Through keynote talks, panel discussions, and hands-on demonstrations, attendees will gain valuable insights into cutting-edge research and engage with experts who are shaping the future of medical robotics. As the field evolves, bridging AI-driven intelligence with real-world adaptability will be key to the next generation of robotic healthcare solutions.