About

Conghui Liang is a leading researcher in robotics, with a primary focus on humanoid and legged locomotion, physical human-robot interaction, and autonomous navigation. Her early work established foundational designs for bio-inspired walking machines, including a novel tripod walking robot and a Chebyshev-Pantograph leg mechanism for a single-DOF biped robot, which together have garnered over 70 citations. A major contribution is her development of a variable stiffness knee exoskeleton for movement disorder rehabilitation, integrating sEMG-based torque estimation for intuitive control—a 2023 paper that has already accumulated 41 citations. She also advanced robotic manipulation with a strategy-based system for automated item picking in e-commerce warehouses (16 citations). More recently, Liang has tackled challenging perception problems, co-authoring the "Ground-Challenge" multi-sensor SLAM dataset (17 citations), designed to stress-test visual SLAM systems under aggressive motion, occlusion, and changing illumination. With over 250 total citations across her portfolio, Liang’s work spans from fundamental mechanism design to cutting-edge control and perception, demonstrating a sustained impact on both assistive robotics and autonomous ground vehicles.

Research Focus

Key Achievements

8
H-Index
11
Papers
253
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Design and simulation of a waist–trunk system for a humanoid robot
63 citations · 2012
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Università degli studi di Cassino e del Lazio Meridionale, Tencent (China), Shenzhen Academy of Robotics, Nanyang Technological University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago