Longxiang Han

Papers

Total Citations

H-Index

About

Longxiang Han is a researcher at the forefront of human-robot interaction, with a primary focus on intelligent control systems and biosignal-based robotics. His most cited work, "Design of Mobile Robot Control System Based on EMG Signal" (2022), pioneers the integration of electromyographic (EMG) signals into mobile robot navigation, offering a novel approach that bridges human physiology and machine control. This research addresses critical limitations in traditional remote and automatic control methods by enabling intuitive, hands-free operation through muscle signal detection. While his citation count of 4 reflects the emerging nature of this field, the work represents a foundational step toward more natural and accessible human-machine interfaces. Han’s contributions are particularly significant for assistive robotics and rehabilitation technologies, where EMG-based control can empower individuals with motor impairments. His ongoing research continues to explore the synergy between biological signals and autonomous systems, positioning him as an innovator in the growing domain of bio-cybernetic control. For students and researchers, Han’s work offers a compelling glimpse into the future of seamless, adaptive human-robot collaboration.