Papers
3
Total Citations
43
H-Index
3
About
Shibin Su is pioneering the integration of neuroscience and robotics to create smarter, safer assistive and autonomous systems. His primary research focuses on brain-inspired control methods for upper limb exoskeletons and intelligent perception for wheeled robots. Su’s most significant contribution is the development of a "mixed perception model" that fuses multimodal information—including physiological and motion data—to more accurately decode a patient's intended movement. This approach, detailed in his 2022 work (22 citations), directly addresses the critical limitation of existing rehabilitation robots that fail to capture a user’s full motion state, thereby reducing the risk of overtraining and injury. He has further advanced this field with a novel, multi-brain-region decision-making framework that mimics human neural processing for more intuitive exoskeleton control (11 citations). Demonstrating his versatility, Su has also tackled the challenge of wheeled robot mobility on loose terrain, such as planetary surfaces. By employing few-shot learning to estimate wheel slippage from rut images (10 citations), his work provides a practical, data-efficient solution for improving the safety and autonomy of rovers. Through this blend of bio-inspired design and robust perception, Su is making tangible strides toward both human rehabilitation and extraterrestrial exploration.
Research Focus
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Top Papers
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