Yuya Hattori
Papers
6
Total Citations
21
H-Index
3
About
Yuya Hattori’s research explores the frontiers of autonomous robotics, spanning quadrupedal locomotion, swarm intelligence, and human-robot interaction. His early work on dynamic walking—analyzing animal gaits through inverted pendulum models—laid groundwork for biologically inspired robot motion. Hattori later pioneered robot gesture generation from environmental sounds, proposing an inter-modality mapping that allows robots to imitate sound sources, enabling shared environmental awareness between humans and machines. His more recent contributions address critical challenges in swarm robotics: designing control barrier functions to maintain safety distances in crowded environments, and developing oscillator-based systems for autonomous division and integration of anonymous agents. Hattori also innovates in constrained robotics, creating a single-actuator autonomous underwater vehicle capable of three-DOF motion, and advancing chemical plume tracing with variable capture-angle sampling. While his citation counts (2–6 per paper) reflect focused, specialized impact, his work demonstrates consistent creativity in solving fundamental control and perception problems. Hattori’s research is particularly valuable for students interested in minimalist robot design, swarm coordination, and sensory-motor coupling in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Analysis of walk for quadruped6 citations · 2002
- 2
- 3
- 4Single-actuator AUV performing 3-DOF motion2 citations · 2020
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- 6