Papers
32
Total Citations
378
H-Index
9
About
Yinlai Jiang is a robotics researcher whose work spans humanoid robotics, assistive technologies, and human-robot interaction, with a particular focus on improving quality of life for aging and disabled populations. His research addresses some of the most pressing challenges in modern robotics, from designing sophisticated mechanical systems to developing intuitive control interfaces. Jiang has made significant contributions to the mechanical design of robotic systems, including a widely cited survey on drive methods for humanoid robotic upper limbs (52 citations) and foundational work on coupled tendon-driven joint modules that enable lightweight, high-performance robotic arms. His inverse kinematics solution for 7-DOF humanoid arms (46 citations) has become a key reference for researchers tackling real-world manipulation challenges. Equally notable is his work in assistive and prosthetic technologies. From early EMG-based prosthetic hands to sophisticated myoelectric control systems enhanced by tactile feedback, Jiang has consistently pushed toward more accessible and functional devices for amputees. His 2023 review on elderly-care robots (65 citations) reflects his broader commitment to addressing global aging challenges through intelligent robotics. With over 290 cumulative citations across a diverse body of work encompassing brain-computer interfaces, deep learning for robot vision, and gesture recognition, Jiang represents a uniquely interdisciplinary voice bridging mechanical engineering, biomedical signals, and human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Survey on Main Drive Methods Used in Humanoid Robotic Upper Limbs52 citations · 2021
- 3
- 4Modularization of 2- and 3-DoF Coupled Tendon-Driven Joints32 citations · 2020
- 5Development and evaluation of simplified EMG prosthetic hands23 citations · 2014
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- 8
- 9Design of a 2 Motor 2 Degrees-of-Freedom Coupled Tendon-driven Joint Module12 citations · 2018
- 10