Yuwei Du
Papers
3
Total Citations
34
H-Index
3
About
Yuwei Du is a pioneering researcher in human-robot collaboration, specializing in supernumerary robotic systems, multimodal control, and bio-signal decoding. Their work centers on augmenting human capabilities through wearable robotic limbs, with a particular focus on intuitive, EMG-based control interfaces. Du’s most cited paper (2024, 15 citations) introduces a learning-based multimodal framework for a supernumerary robotic limb (SRL) that enhances manipulation and workspace reach during collaborative sorting tasks. This is complemented by their 2022 study (12 citations) on decoding upper limb motion from surface EMG using spiking neural networks—a breakthrough enabling more natural, real-time human-robot interaction. Their 2023 work (7 citations) further advances the field by developing a novel on-shoulder SRL for bi-directional handover, demonstrating practical applications in agile manufacturing. Du’s contributions bridge the gap between neural control and physical augmentation, offering scalable solutions for assistive robotics and industrial collaboration. With a growing citation footprint and a focus on wearable, adaptive systems, Du is shaping the future of seamless human-robot teamwork.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3