Papers
8
Total Citations
421
H-Index
8
About
Yanhong Peng is an innovative robotics researcher whose work sits at the intersection of soft robotics, artificial intelligence, and human-robot interaction. With a portfolio spanning large language models, advanced sensing systems, and bio-inspired robotic designs, Peng has established herself as a distinctive voice in next-generation robotics research. Her most celebrated contribution, a 2023 review on large language models for human-robot interaction (224 citations), has rapidly become a landmark reference in the field, reflecting the timeliness and depth of her analysis at a critical moment in AI development. Complementing this, her work on 3D point cloud processing using deep learning (39 citations) and fabric-type actuator modeling (31 citations) demonstrates her sophisticated command of data-driven approaches to complex robotic systems. Peng's hands-on engineering achievements are equally impressive. The Funabot-Sleeve wearable haptic device, an inchworm-inspired peristaltic robot, and an electrohydrodynamic soft robotic finger collectively illustrate her creativity in translating biological principles into functional robotic hardware. Her bio-inspired designs, drawing from intestinal structures and inchworm locomotion, reflect a deeply interdisciplinary approach. Across her body of work, Peng's research consistently bridges theoretical advances with tangible, human-centered applications, making her an emerging leader in contemporary robotics.
Research Focus
Key Achievements
Top Papers
- 1Large language models for human–robot interaction: A review224 citations · 2023
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- 4Controlling a peristaltic robot inspired by inchworms36 citations · 2024
- 5Modeling Fabric-Type Actuator Using Point Clouds by Deep Learning31 citations · 2022
- 6Peristaltic transporting device inspired by large intestine structure21 citations · 2023
- 7Novel soft robotic finger model driven by electrohydrodynamic (EHD) pump21 citations · 2024
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