Papers
10
Total Citations
67
H-Index
5
About
Tatsuya Kato is a versatile researcher whose work spans autonomous mobile robotics and, more recently, surgical robotics and medical simulation. Over more than a decade, Kato has made significant contributions to intelligent robot control, pioneering image-based fuzzy control frameworks for trajectory tracking and obstacle avoidance in nonholonomic and four-wheel steered mobile robots — work that has accumulated citations reflecting steady influence within the robotics community. His earlier research extended into multi-robot formation strategies for heterogeneous systems, legged robot gait acquisition using genetic algorithms, and practical outdoor navigation challenges such as puddle detection via laser reflection intensity for wheeled platforms. In a notable pivot toward clinical applications, Kato's most impactful recent work involves developing virtual reality simulation systems for preoperative planning of robotic-assisted thoracic surgery (RATS), addressing critical challenges including limited surgical field of view and reduced tactile feedback — garnering nearly 30 citations since 2024 alone. His case series on robotic thymectomy for Good's syndrome further demonstrates engagement with real-world surgical practice. Collectively, Kato's career illustrates a compelling trajectory from foundational autonomous systems research toward high-stakes medical robotics, positioning him as a researcher bridging engineering innovation with life-saving clinical applications.
Research Focus
Key Achievements
Top Papers
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- 8A formation method for heterogeneous multiple robots by specifying the relative position of each robot2 citations · 2010
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