Tohru Watanabe
Papers
3
Total Citations
13
H-Index
3
About
Tohru Watanabe is a pioneering researcher in robotics and intelligent control systems, with a particular focus on enhancing the precision and computational efficiency of robot manipulators. His most influential work, "Calibration of position and orientation of robot manipulators using a neural network" (1992, 7 citations), introduced a novel approach to correcting positional errors by training neural networks to learn and compensate for mechanical inaccuracies. This foundational method was further refined in his 1993 paper, which proposed a neural-network-based compensation system that modifies reference inputs to robot controllers, effectively reducing errors caused by model misspecification or setup inaccuracies. Earlier in his career, Watanabe addressed computational bottlenecks in robotics with his 1985 study on multi-microprocessor systems for joint angle calculation, where he developed a parallel processing architecture using seven Z80 CPUs and an APU to speed up inverse kinematics. His work on heuristic task scheduling also made complex calculations more accessible on personal computers. Although his citation counts reflect a niche but dedicated audience, Watanabe’s contributions laid important groundwork for the integration of neural networks into robotic calibration and real-time control.
Research Focus
Key Achievements
Top Papers
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