Papers
3
Total Citations
47
H-Index
3
About
Yuhao Luo is a leading researcher in the field of rehabilitation and assistive robotics, with a primary focus on lower extremity exoskeleton systems. His work bridges critical gaps in human-robot interaction, particularly in developing intelligent, adaptive control systems for wearable robots. Luo’s most impactful contribution is a bioinspired lower extremity exoskeleton featuring a deep locomotion mode identification system, which allows the robot to adapt to different terrains and user gaits. This work, cited 37 times, demonstrates a significant advance in making exoskeletons practical for real-world mobility assistance. He has also pioneered the integration of brain-computer interfaces (BCI) with exoskeleton control, enabling users to command walking, sitting, and standing through motor imagery decoded from EEG signals—a breakthrough for individuals with severe motor impairments. Additionally, his comparative analysis of control algorithms for a series elastic actuator (SEA)-driven knee exoskeleton addresses critical challenges in safe, compliant human-robot interaction. Through these innovations, Luo is shaping the future of intelligent, user-responsive wearable robotics for rehabilitation and mobility enhancement.
Research Focus
Key Achievements
Top Papers
- 1
- 2A control system of lower limb exoskeleton robots based on motor imagery7 citations · 2017
- 3Comparision of different control algorithms for a knee exoskeleton3 citations · 2018