Akimasa Otsuka
Papers
22
Total Citations
139
H-Index
6
About
Akimasa Otsuka is a robotics and automation researcher whose work spans industrial robot control, machine learning applications in robotics, and mechatronics education. His most influential contribution, a 2012 paper on CAM system development for industrial robotic servo controllers (40 citations), established a teachingless operational framework that eliminated reliance on conventional robot programming languages — a significant step toward more flexible manufacturing automation. Building on this foundation, Otsuka developed machining robots for foamed polystyrene materials incorporating fuzzy feed rate controllers, addressing real industrial needs in cast metal production. His research has progressively embraced intelligent control strategies, including neural network-based inverse kinematics, genetic algorithm-tuned controllers, and transfer learning-based convolutional neural networks for pick-and-place robotic vision systems. His work on force-sensor-guided orthogonal robot control further demonstrates his expertise in precise manipulation. Beyond industrial applications, Otsuka has contributed to swarm robotics experimentation and championed hands-on mechatronics education systems. With a body of work accumulating over 100 citations, his research represents a coherent trajectory from classical robot control toward AI-driven automation, making him a noteworthy contributor to applied robotics engineering.
Research Focus
Key Achievements
Top Papers
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- 3A proposal of experimental education system of mechatronics12 citations · 2012
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- 5Fuzzy feed rate controller for a machining robot9 citations · 2014
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- 9Experiment of imitating ant feeding behavior using Kilobot4 citations · 2017
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