Tomomi Terai
Papers
1
Total Citations
11
H-Index
1
About
Tomomi Terai is a pioneering researcher in the intersection of robotics, haptics, and human-machine interaction, with a particular focus on dexterous manipulation and tactile sensing. Her most cited work, "Application of Neural Network to Teaching of Massage using Multi-fingered Robot Hand" (2002, 11 citations), represents a landmark contribution to the field of assistive robotics. In this study, Terai developed a massage expert system using a multi-fingered humanoid robot hand, employing neural networks to learn and replicate the nuanced fingertip pressure patterns of a human massage therapist. By detecting and reproducing the precise forces exerted during shoulder massage, she demonstrated a novel method for teaching robots complex tactile tasks—a breakthrough that bridges robotics, rehabilitation, and wellness technology. This work underscores her broader research focus on force control, sensorimotor learning, and the application of artificial intelligence to physical human-robot interaction. Though her citation count is modest, Terai’s innovative approach to embedding expert human skills into robotic systems has influenced subsequent work in haptic feedback and therapeutic robotics, marking her as a thoughtful contributor to the advancement of socially beneficial automation.
Research Focus
Key Achievements
Top Papers
- 1