Papers
8
Total Citations
311
H-Index
5
About
Dr. Ziwu Song is a leading innovator in tactile sensing and soft robotics, whose work bridges the gap between human-like touch perception and autonomous machine intelligence. His primary research focuses on developing advanced triboelectric and visuo-tactile sensors for material, texture, and stiffness recognition, as well as magnetic actuation systems for medical robotics. His most impactful contribution, the flexible triboelectric tactile sensor for simultaneous material and texture recognition (175 citations), has set a new standard for self-powered, multimodal sensing. Dr. Song’s platypus-inspired electro-mechanosensory finger (61 citations) further demonstrates his talent for bio-inspired design, enabling remote control and tactile feedback in a single device. He has also pioneered a broad-range triboelectric stiffness sensor for variable inclusions recognition (32 citations), advancing automated palpation in robotics. His recent work on TacTID, a high-performance visuo-tactile sensor for terrain identification in legged robots, and SATac, a thermoluminescence-enabled tactile sensor, showcases his commitment to expanding sensory modalities. With over 300 total citations and a growing portfolio of high-impact publications, Dr. Song is shaping the future of human-machine interaction and robotic dexterity.
Research Focus
Key Achievements
Top Papers
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