Seiji Tokura
Papers
19
Total Citations
357
H-Index
10
About
Seiji Tokura is a robotics researcher whose work spans autonomous mobile robotics, computer vision, robotic manipulation, and neural network-based control systems. He is perhaps best known for his pioneering development of ApriAttenda, a person-following robot that uses vision-based target detection and sensor fusion to accompany individuals while navigating real-world environments — work that has accumulated over 100 citations and remains a touchstone in human-robot interaction research. Tokura has also made significant contributions to robotic bin-picking, developing deep learning approaches for grasping textureless, planar-faced objects using depth imagery, and advancing suction graspability learning that accounts for both grasp quality and robot reachability. Earlier in his career, he tackled the simulation-to-reality transfer problem in evolutionary robotics through his dynamically rearranging neural network framework, which produced robust controllers capable of bridging simulated and physical environments — a challenge still highly relevant today. His broader portfolio includes robotic shopping assistance systems that coordinate mobile robots with environmental cameras. With cumulative citations spanning foundational and applied robotics problems, Tokura represents a researcher whose work consistently addresses the practical challenges of deploying intelligent robots in human-centered environments.
Research Focus
Key Achievements
Top Papers
- 1Development of a Person Following Robot with Vision Based Target Detection106 citations · 2006
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- 9Person Following Robot ApriAttenda13 citations · 2006
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