Papers
6
Total Citations
51
H-Index
4
About
Yulian Peng is a leading researcher in soft robotics and intelligent sensing systems, with a focus on tactile perception, proprioception, and human–machine interaction. Their work has pioneered the development of non-array soft capacitive tactile sensors capable of simultaneously measuring contact force and location, a critical advancement for robotic grippers in safe and effective manipulation. Peng’s research on self-sensing artificial muscles has enabled bioinspired soft robots to achieve humanlike perception, interaction, and positioning, bridging the gap between soft actuators and integrated sensing. Notably, their magnetic crack-based piezoinductive sensors achieve extreme robustness and ultra-sensitivity, addressing long-standing trade-offs in soft mechanical sensor performance. With over 50 citations across their most-cited works, including a 2023 paper with 28 citations, Peng’s contributions are shaping the future of perceptive soft machines. Their development of bimodal sensors for proprioception and tactile sensing, along with perceptive pneumatic artificial muscles, demonstrates a consistent drive to embed intelligence into soft robotic systems. Peng’s work is essential reading for researchers advancing soft robotics, haptics, and intelligent automation.
Research Focus
Key Achievements
Top Papers
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