Papers
1
Total Citations
3
H-Index
1
About
Wenjie Qu is a pioneering researcher in the field of human-robot interaction, with a primary focus on supernumerary robotic limbs (SRLs) and bio-signal-based control systems. Their most-cited work, "A novel sEMG-based force interaction strategy of supernumerary robotic limbs" (2025), introduces an innovative approach to controlling extra robotic limbs through surface electromyography (sEMG) signals, enabling intuitive force-based interaction. This contribution addresses critical challenges in wearable robotics, such as seamless coordination between human and machine, with potential applications in rehabilitation, industrial assistance, and augmenting human capabilities. With 3 citations in a short time, this paper highlights Qu's emerging influence in the robotics community. Their research bridges neuroscience, biomechanics, and control engineering, offering a foundation for next-generation assistive technologies. Qu's work not only advances theoretical understanding of human-robot synergy but also provides practical frameworks for real-world deployment, making them a rising voice in the quest to enhance human physical performance through intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1