Yan Peng
Papers
1
Total Citations
28
H-Index
1
About
Yan Peng is a researcher specializing in robotic tactile sensing, human-robot interaction, and force perception technologies. Their most notable contribution lies in advancing vision-based tactile sensing systems for robots, addressing critical challenges in multi-modal tactile information acquisition while simultaneously reducing hardware costs — longstanding barriers in the field of robotic sensing. Peng's 2018 work, "Robot Tactile Sensing: Vision Based Tactile Sensor for Force Perception," has garnered 28 citations, reflecting meaningful engagement from the robotics and sensing communities. This research tackles the gap between human and robotic tactile capabilities, pushing toward more sophisticated, affordable sensor designs that could enable robots to better perceive and interact with their physical environments. Peng's work sits at the intersection of computer vision, mechanical sensing, and robotics engineering, contributing foundational insights that support downstream applications in manufacturing automation, prosthetics, and collaborative robotics. For students and researchers entering the fields of soft robotics or sensor design, Peng's contributions offer a valuable reference point for understanding how vision-based approaches can elegantly solve complex tactile perception problems.
Research Focus
Key Achievements
Top Papers
- 1Robot Tactile Sensing: Vision Based Tactile Sensor for Force Perception28 citations · 2018