Uncertainty-Aware Shared Control for Vision-Based Micromanipulation
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025
This study presents a new method to improve the precision and reliability of robotic tools used for delicate tasks under a microscope, such as handling tiny cells in biomedical procedures. The researchers developed a system that combines automation with real-time human assistance, enabling the robot to adapt when visual information is uncertain or incomplete. Their approach also introduces a smart calibration technique that doesn’t require detailed knowledge of the robotic tool’s structure. In experiments, their method significantly reduced positioning errors and made the robot faster and more accurate compared to standard techniques. This innovation could help make robotic systems safer and more effective for ‘microscale’ tasks in areas like in-vitro fertilization and microsurgery.