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About

Le Song is a robotics and sensing researcher whose work spans tactile sensing, surgical robotics, and autonomous navigation. His most influential contribution, "Bionic Compound Eye-Inspired High Spatial and Sensitive Tactile Sensor" (2021, 40 citations), drew on biological principles to engineer a high-density tactile sensor capable of rivaling the receptor density found in human fingertips — a breakthrough with significant implications for robotic dexterous manipulation. Building on this foundation, Song developed a vision-based tactile sensor featuring an unequal-height dome array capable of predicting slippage before it occurs, advancing the reliability of robotic grasping systems. His research extends into medical robotics, with recent work examining contact force sensing for cardiovascular interventional procedures, addressing a critical safety challenge in catheter-based surgeries. Song has also contributed to autonomous systems research, proposing a general framework for lifelong localization and mapping in dynamic real-world environments, enabling robots to operate reliably over extended periods. Across these diverse domains, his work consistently bridges bio-inspired design, precision sensing, and practical robotics applications, establishing him as a versatile contributor to next-generation intelligent systems.