Papers
11
Total Citations
69
H-Index
6
About
Tomohiro Yamaguchi is a versatile researcher whose work spans robotics, artificial intelligence, and medical surgery, with a particular focus on developing practical solutions for real-world challenges. His primary research areas include wall-climbing robotics for industrial inspection, reinforcement learning for autonomous systems, and minimally invasive surgical techniques. Yamaguchi’s most notable contributions lie in the design of adhesion units for omnidirectional wall-climbing robots, where he pioneered the use of centrifugal fans and negative pressure suction mechanisms to enable robots to navigate curved surfaces like airplane bodies—work that has garnered over 30 citations collectively. He also advanced quadruped robot locomotion through neural network approaches for obstacle avoidance and free-gait motion, contributing to the field of legged robotics. In the medical domain, Yamaguchi co-authored the landmark LANDMARC study (2024), a prospective multicenter survey investigating male sexual dysfunction after minimally invasive rectal cancer surgery, which has already received 8 citations. His early work on reinforcement learning for real robots in real environments (1996) remains influential, demonstrating his long-standing commitment to bridging theoretical AI with practical deployment.
Research Focus
Key Achievements
Top Papers
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- 4Reinforcement Learning for a Real Robot in a Real Environment.7 citations · 1996
- 5Analyzing human's continuous learning ability with the reflection cost6 citations · 2015
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- 8Obstacle Avoidance for Quadruped Robots Using a Neural Network4 citations · 2003
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