Tomoyuki Hamada
Papers
9
Total Citations
86
H-Index
7
About
Tomoyuki Hamada is a pioneering researcher in human-robot interaction (HRI) and intelligent manufacturing, whose work bridges the gap between human cognition and robotic action. His central contribution is the development of "image-based operation," a paradigm that allows operators to control robots using mental images and visual models of real-world environments. This approach, detailed in his most-cited paper (16 citations), introduces a multidimensional information structure to maintain consistency between system models and physical reality, enabling more intuitive and effective robot operation. Hamada's research spans applications from self-navigation systems to driver assistance technologies, as well as robotics for social safety, including medical care, welfare, and real-time disaster prevention. His work on dynamic workspace model matching (12 citations) and knowledge representation for robot operation (8 citations) further advances interactive control by integrating sensory data with a priori information. With a career spanning from the early 1990s to the mid-2000s, Hamada's contributions have laid foundational groundwork for modern human-robot collaboration, influencing how robots understand and respond to human intent in complex, dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Robotics for social safety12 citations · 2001
- 4Dynamic work space model matching for interactive robot operation12 citations · 2003
- 5Image based operation for human-robot interaction9 citations · 1990
- 6
- 7Knowledge representation for image based robot operation8 citations · 2003
- 8
- 9Perception based dynamic trajectory generation.3 citations · 1991