Papers
28
Total Citations
1,239
H-Index
19
About
Gaoyang Pang is a prominent researcher whose work sits at the dynamic intersection of human-robot interaction, wearable sensing technologies, and intelligent robotics. His research spans three core domains: smart wearable systems for healthcare and rehabilitation, flexible tactile sensing for collaborative robots, and machine learning-driven human-machine interfaces. Among his most significant contributions is his pioneering development of IoT-enabled rehabilitation systems, including a smart wearable armband paired with machine learning and 3D-printed robotic hands to aid stroke recovery (187 citations). His groundbreaking work on robot skin — particularly CoboSkin, a variable-stiffness collaborative robot skin — has advanced the safety of human-robot collaboration by giving robots a tangible sense of touch (99 citations). His comprehensive review of robot skin technologies (94 citations) has become a key reference for researchers navigating this rapidly evolving field. Pang has also made notable strides in machine learning-enabled tactile sensor design (147 citations), super-resolution tactile arrays powered by deep learning (52 citations), and facial expression recognition using conditional GANs for intuitive human-robot interaction (111 citations). With a career stretching from early hexapod locomotion research (2002) to cutting-edge flexible sensor systems, Pang's cumulative impact reflects his sustained influence in shaping the future of intelligent, human-centered robotics.
Research Focus
Key Achievements
Top Papers
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- 2Machine Learning‐Enabled Tactile Sensor Design for Dynamic Touch Decoding147 citations · 2023
- 3cGAN Based Facial Expression Recognition for Human-Robot Interaction111 citations · 2019
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- 10Comparison between different model of hexapod robot in fault-tolerant gait43 citations · 2002