Xianhao Le
Papers
2
Total Citations
150
H-Index
2
About
Xianhao Le is a pioneering researcher in soft robotics and intelligent perception systems, with a focus on integrating multimodal sensory technologies for advanced robotic manipulation. His major contributions lie in developing soft robotic grippers that combine ultrasonic auto-positioning with triboelectric sensors, enabling human-skin-mimetic perception for randomly distributed objects. Le’s most cited work, “Soft Robotic Perception System with Ultrasonic Auto-Positioning and Multimodal Sensory Intelligence” (2023), has garnered 147 citations, highlighting its impact on flexible electronics and tactile cognitive sensors. This system addresses a critical challenge in soft robotics: achieving precise object positioning without conventional guiding systems. In his subsequent work, “Intelligent Soft Robotic Gripper Enabled by Multimodal Sensors and Deep Learning” (2023), Le further advanced the field by integrating noncontact ultrasonic distance sensing with deep learning to extract visual information—such as object position and height—through lateral scanning. This innovation enhances robotic adaptability in unstructured environments. Le’s research bridges sensor design, artificial intelligence, and soft robotics, offering scalable solutions for industrial automation and human-robot interaction. His achievements underscore a commitment to creating more intuitive, autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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