Yiming Deng
Papers
9
Total Citations
431
H-Index
6
About
Yiming Deng is a pioneering researcher at the intersection of robotics, non-destructive evaluation (NDE), and intelligent sensing systems. His work spans soft robotics, human-robot interaction, and advanced NDE for infrastructure inspection, with a particular focus on enabling autonomous systems to perceive and interact with complex environments. Deng’s most influential contribution is his skin-inspired textile-based tactile sensor (277 citations), which enables multifunctional sensing for wearables and soft robots, representing a breakthrough in embodied perception. He has also made significant advances in robotic NDE, developing AI-enabled platforms for structural damage assessment and air-coupled ultrasonic inspection, as well as IMU-assisted structured light sensing for pipeline inspection. His research extends to brain-computer interfaces, where he combined EEG with deep learning for tractor assistance, and to visual place recognition for long-term robot navigation. Deng’s work on simultaneous shape reconstruction and force estimation in soft actuators (2024) further demonstrates his leadership in soft robot proprioception. With a portfolio of highly cited papers and a focus on real-world applications from gas pipeline inspection to agricultural automation, Deng is shaping the future of intelligent, perceptive robots that can safely operate in challenging environments.
Research Focus
Key Achievements
Top Papers
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- 8AI-Enabled Robotic NDE for Structural Damage Assessment and Repair6 citations · 2021
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