Shancheng Bao
Papers
4
Total Citations
261
H-Index
4
About
Shancheng Bao is a leading researcher at the intersection of neural engineering and human-robot interaction, whose work advances our understanding of how the brain controls movement and how machines can augment that control. His most impactful contribution is a comprehensive review on surface electromyography (sEMG)-based human-robot interaction systems, which has garnered over 217 citations and serves as a foundational resource for developing intuitive prosthetic and exoskeleton technologies. Bao’s experimental work explores the frontiers of neuroplasticity, notably demonstrating how transcranial direct current stimulation (tDCS) over the primary motor cortex can modulate not only motor execution but also cognitive and sensory functions—a finding with profound implications for rehabilitation. He has also made significant strides in motor learning, showing that use-dependent learning can enhance generalization in visuomotor adaptation, and that passive movement training can consolidate motor memories. By bridging noninvasive brain stimulation, motor control theory, and robotic interfaces, Bao’s research offers transformative insights for designing next-generation assistive devices and neurorehabilitation protocols, making him a pivotal figure in the quest to restore and enhance human motor function.
Research Focus
Key Achievements
Top Papers
- 1A review of the key technologies for sEMG-based human-robot interaction systems217 citations · 2020
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