Xiangbo Wang

Papers

Total Citations

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About

Xiangbo Wang is a robotics researcher whose work sits at the intersection of soft robotics, tactile sensing, and biomimetic manipulation. His research focuses on developing intelligent, sensor-rich robotic hands that can perceive and interact with their environment with human-like dexterity. Wang’s major contributions include the design of a **soft magnetic skin (m-skin)** for anthropomorphic robotic fingers, which integrates multimodal sensing—combining tactile and proprioceptive feedback—to enable fine motion and contact detection, a breakthrough published in 2024 and already cited 9 times. He has also pioneered **bionic soft fingers with hybrid variable stiffness mechanisms**, allowing robots to switch between compliant, safe grasping and firm, load-bearing grips, a concept that has garnered 3 citations. Additionally, Wang has advanced the simulation of **vision-based tactile sensors**, developing efficiency-tunable rendering methods that enable high-resolution tactile data processing for robotic manipulation. His work is notable for its direct inspiration from human sensory pathways, bridging the gap between biological systems and robotic hardware. With a growing citation record and a focus on practical, anthropomorphic designs, Wang is shaping the future of soft, adaptive robotic hands for applications in manufacturing, healthcare, and human-robot interaction.