Henrique Seiti Kondo
Papers
2
Total Citations
93
H-Index
2
About
Henrique Seiti Kondo is a researcher whose work sits at the intersection of swarm robotics, autonomous navigation, and computational intelligence. His primary research focus is on developing intelligent control systems for multirobot systems operating in challenging, semi-unknown environments. Kondo’s most significant contribution is his pioneering use of Fuzzy Cognitive Maps (FCMs) as a controller for swarm foraging tasks. His landmark 2019 paper, "Semi-Unknown Environments Exploration Inspired by Swarm Robotics using Fuzzy Cognitive Maps," which has garnered 90 citations, demonstrated that FCM-based controllers can outperform traditional fuzzy logic controllers in coordinating multiple autonomous mobile robots to explore and forage in uncertain spaces. This work provides a novel, bio-inspired framework for decentralized robotic coordination. Additionally, Kondo has explored foundational robotics problems, including a comparative analysis of inverse kinematics solutions for robotic manipulators using algebraic methods, Genetic Algorithms, and Artificial Neural Networks. Through his research, Kondo is advancing the practical deployment of intelligent, adaptive robotic swarms for real-world exploration and search-and-rescue missions.
Research Focus
Key Achievements
Top Papers
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