Yi Liu wins best paper award (3rd place) at the IROS Workshop on Embodied Intelligence for Medical Robotics - Learning, Adaption, and Interaction.

At the IROS 2025 Workshop Embodied Intelligence for Medical Robotics: Learning, Adaption, and Interaction Yi Liu was awarded 3rd place for his work on nested continuum robots.

He presented his work on a model-free reinforcement learning framework for the coordinated control of nested continuum robots (flexible, snake-like robots) to move safely and precisely in thight or cluttered spaces. This is useful for robotic tasks inside the human body or complex machines. Instead of relying on difficult mathematical models, the robot learns directly from experience through reinforcement learning. This research, carried out during Yi Liu’s internship at the Maersk Mc-Kinney Moller Institute (University of Southern Denmark), makes the robot more adaptable, efficient, and reliable, paving the way for advanced medical and industrial robots that can operate where traditional rigid robots cannot.