Setsuo Hashimoto
Papers
5
Total Citations
17
H-Index
2
About
Setsuo Hashimoto is a pioneering roboticist whose work bridges perception, action, and musical artistry. His research centers on perception-based robotics, evolutionary computation, and human-robot interaction, with a particular focus on creating robots that can adapt to dynamic, real-world environments. Hashimoto’s most cited work, “Perceptual System for a Mobile Robot Under a Dynamic Environment” (2004, 8 citations), introduces a coupling mechanism between perceptual and action systems, using fuzzy controllers and evolutionary computation to enable robust navigation. He further advances fault-tolerant sensing with a prediction-based sensory network using neural networks, drawing inspiration from ecological psychology. Beyond mobile robotics, Hashimoto is renowned for his contributions to anthropomorphic musical robots, notably the flutist robot WF-4RII, which performed “The Flight of the Bumble Bee” (2006, 3 citations)—a landmark achievement in robotic dexterity and artistic expression. His work on gesture recognition using evolutionary computation for partner robots (2006, 2 citations) and lifelong learning via genetic programming (2002, 2 citations) underscores his commitment to creating intelligent, adaptive machines. Though his citation counts are modest, Hashimoto’s interdisciplinary impact—from perception-based control to robotic musicianship—continues to inspire researchers in robotics, AI, and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1Perceptual system for a mobile robot under a dynamic environment8 citations · 2004
- 2
- 3A sensory network for perception-based robotics using neural networks2 citations · 2004
- 4
- 5Genetic programming for life-time learning of a mobile robot2 citations · 2002