Papers
5
Total Citations
278
H-Index
5
About
Cuichao Xu is a leading researcher in the field of robotic exoskeletons and human-robot interaction, with a focus on enhancing human motor abilities through intelligent, adaptive systems. His work spans brain-computer interfaces (BCI), hybrid control strategies, and biologically inspired robotics. Xu’s most impactful contribution is his 2019 paper on a hybrid brain/muscle signal-powered wearable walking exoskeleton (146 citations), which demonstrated a novel approach to assist stair climbing by integrating neural and muscular control. He further advanced the field with his 2018 study on human-inspired dual-arm exoskeleton control (79 citations), introducing force and impedance adaptation for improved flexibility. Xu has also made notable strides in biped robot balance control and robotic leg prostheses, employing adaptive time-delay and deadbeat control methods to handle model uncertainties. His biomechatronic design of supernumerary robotic limbs for industrial assembly showcases his commitment to practical, wearable robotics. With over 278 total citations across his top papers, Xu’s work is widely recognized for bridging the gap between human physiology and robotic assistance, offering transformative solutions for rehabilitation, mobility, and industrial applications.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Adaptive Time-Delay Balance Control of Biped Robots27 citations · 2019
- 4Biologically Inspired Deadbeat Control of Robotic Leg Prostheses17 citations · 2020
- 5