Yiqun Kuang

University of Electronic Science and Technology of China

Papers

Total Citations

H-Index

About

Yiqun Kuang is a robotics researcher whose work centers on legged locomotion, human-robot interaction, and social robotics. His major contributions include developing a virtual suspension model control for standing balance in legged robots, addressing the challenge of maintaining stability without ankle joint actuation or reliance on the support polygon plane. He has also advanced human-robot collaboration through a one-shot gesture recognition method using attention-based dynamic time warping (DTW), enabling efficient, intuitive communication between humans and robots. Kuang’s survey on media interaction in social robotics provides a foundational overview of how robots engage with humans through various media channels. His work on learning jumping skills from human demonstrations, using a fast reinforcement learning framework, further demonstrates his commitment to bridging human motion and robotic control. With key papers accumulating citations in the range of 3 to 10, Kuang’s research is steadily gaining recognition for its practical contributions to legged robot stability, gesture-based collaboration, and skill transfer from humans to robots. His interdisciplinary approach continues to shape the future of autonomous and interactive robotic systems.