Xiaohang He
Papers
1
Total Citations
47
H-Index
1
About
Xiaohang He is a leading researcher in brain-computer interfaces (BCI) and human-robot interaction, with a focus on non-invasive neural control systems. His most cited work, "Motor Imagery Based Continuous Teleoperation Robot Control with Tactile Feedback" (2020, 47 citations), pioneers a novel approach to teleoperation by integrating motor imagery EEG signals with continuous robot control and tactile feedback. This breakthrough addresses a critical limitation in BCI systems—the lack of sensory feedback—enabling more intuitive and precise remote manipulation. He’s research demonstrates how users can control robotic systems through imagined movements alone, bypassing traditional neural pathways, while receiving real-time tactile sensations to enhance task performance. By bridging motor imagery decoding with closed-loop haptic feedback, He has advanced the practical viability of BCI for applications in assistive robotics, prosthetics, and remote surgery. His work stands out for its emphasis on continuous, rather than discrete, control—a key step toward naturalistic human-machine collaboration. With growing citations and influence in the BCI community, Xiaohang He continues to shape the future of neural interfaces, making direct brain-to-robot communication more seamless and effective for real-world use.
Research Focus
Key Achievements
Top Papers
- 1