Yoshifumi Terabayashi
Papers
1
Total Citations
5
H-Index
1
About
Dr. Yoshifumi Terabayashi’s research focuses on advancing robotics through intelligent sensor integration and neural network applications, with a particular emphasis on enhancing human-robot interaction in medical and welfare settings. His most cited work, “Improvement of Robot Sensor by Integrating Information Using Neural Network” (2003), addresses a critical challenge: enabling robots to operate more naturally and safely alongside humans. By combining neural network techniques with multi-sensor data fusion, Terabayashi proposed methods to improve a robot’s perception and responsiveness, laying groundwork for more adaptive and human-friendly robotic systems. Though his citation count is modest, his contributions are significant in the context of early 2000s robotics, where sensor limitations hindered practical deployment in caregiving environments. His work underscores the importance of robust sensing for robots to assist in healthcare, rehabilitation, and daily living tasks. Terabayashi’s research remains relevant as the field continues to pursue seamless human-robot collaboration, and his early efforts to integrate neural networks into sensor processing helped pave the way for more sophisticated autonomous systems in assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1