Papers
17
Total Citations
214
H-Index
7
About
Xiao-Ping Zhang is a leading researcher at the intersection of robotics, tactile sensing, and human-computer interaction, whose work is redefining how machines perceive and interact with the physical world. His core contributions span visuotactile sensor fusion, magnetic actuation, and self-powered gesture recognition. Zhang’s most impactful work, a visual-tactile fusion framework for transparent object grasping (2023, 64 citations), tackles a notoriously difficult robotics challenge by synergizing vision and touch to dramatically improve grasping efficiency in complex environments. He has also authored a seminal review on visuotactile sensors from a signal processing perspective (2024, 43 citations), establishing a foundational reference for the field. Beyond grasping, Zhang has pioneered planar magnetic actuation systems for soft and rigid robots (2022, 24 citations), expanding the potential for medical interventions, and developed dual-modal tactile e-skins for bidirectional human-robot interaction (2024). His innovative SolarSense system (2024) introduces self-powered, sustainable gesture recognition for industrial applications, while his work on depth estimation from monocular videos (2019, 28 citations) advances autonomous navigation. With a growing portfolio of highly cited papers, Zhang is shaping the future of dexterous, perceptive, and energy-efficient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Visual–Tactile Fusion for Transparent Object Grasping in Complex Backgrounds64 citations · 2023
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