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About

Jiajia Yang is a pioneering researcher at the intersection of neuroscience, artificial intelligence, and human-robot interaction, with a particular focus on somatosensory processing and brain-machine interfaces. Their most influential work, "Human Somatosensory Processing and Artificial Somatosensation" (2021, 51 citations), advances our understanding of how the brain processes touch and bodily sensation, translating these insights into meaningful progress for humanoid robotics and AI systems. This research addresses one of the most technically demanding challenges in sensory neuroscience, positioning Yang as a leading voice in bridging biological and artificial sensing. Yang's work on brain-machine interfaces further demonstrates their interdisciplinary reach. Their development of a machine-vision-fused system using dynamic augmented reality visual stimulation achieved a remarkable 64% improvement in robot control speed over traditional paradigms — a significant practical breakthrough with implications for assistive technology and neuroengineering. Beyond neural systems, Yang also explores human perception in robot design, investigating how concepts like baby schema influence public responses to robotic appearance. Collectively, Yang's research reflects a bold, integrative vision: understanding the human brain deeply enough to build machines that can meaningfully replicate and interact with human sensory experience.