Papers
4
Total Citations
35
H-Index
3
About
Keming Liu is a rising researcher in human-centered robotics, with a focus on wearable robotic systems and human–robot collaboration. Their work centers on two key areas: surface electromyography (sEMG)-based control interfaces and supernumerary robotic limbs (SRLs)—extra robotic appendages designed to augment human capability. Liu’s most cited paper, “Human–robot interface based on sEMG envelope signal for the collaborative wearable robot” (2022, 15 citations), addresses the challenge of creating low-cost, practical control systems by using sEMG envelope signals, reducing reliance on expensive multichannel setups. Their second major contribution, “A human augmentation device design review: supernumerary robotic limbs” (2022, 13 citations), provides a critical synthesis of SRL design principles, highlighting gaps in the literature and guiding future development. Liu further advanced this field with “Collaborative workspace design of supernumerary robotic limbs base on multi-objective optimization” (2023, 5 citations), introducing optimization methods to improve SRL workspace efficiency. Additionally, their comprehensive review of bug algorithms in path planning (2024, 2 citations) demonstrates versatility in robotics navigation. With a growing citation impact and a clear trajectory in wearable augmentation, Keming Liu is establishing themselves as a thoughtful contributor to practical, human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A human augmentation device design review: supernumerary robotic limbs13 citations · 2022
- 3
- 4A comprehensive review of bug algorithms in path planning2 citations · 2024