K
Keigo Watanabe
Researcher at Okayama University
Publications - 737
Citations - 5764
Keigo Watanabe is an academic researcher from Okayama University. The author has contributed to research in topics: Mobile robot & Robot. The author has an hindex of 32, co-authored 720 publications receiving 5450 citations. Previous affiliations of Keigo Watanabe include Beijing Institute of Technology & National Institute for Materials Science.
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An optimized Takagi-Sugeno type neuro-fuzzy system for modeling robot manipulators
TL;DR: The present paper describes the development of a Takagi-Sugeno (TS)-type Neuro-fuzzy system (NFS) for dynamic modeling of robot manipulators trained by a relatively new combinatorial metaheuristic optimization method, called particle swarm optimization (PSO).
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Behavior Selection Based Navigation and Obstacle Avoidance Approach Using Visual and Ultrasonic Sensory Information for Quadruped Robots
TL;DR: A behaviour selection based navigation and obstacle avoidance algorithm with effective method for adapting robotic behavior according to the environment conditions and the navigated terrain is introduced.
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Gap junctions in the differentiated neural retinae of newly hatched chickens.
TL;DR: Gap junctions in the neural retinae of newly hatched chickens were examined in thin section and by freeze cleaving to find unusual gap junctions containing linear arrays of intramembrane particles which are characteristic of a typical gap junction.
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Fuzzy-chaos hybrid controller for controlling of nonlinear systems
TL;DR: The relaxed stability conditions and linear matrix inequalities-based design for a fuzzy regulator is introduced to construct a fuzzy attractive domain, in which a global solution is obtained so as to achieve the desired stability condition of the closed-loop system.
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A decentralized control system for cooperative transportation by multiple non-holonomic mobile robots
TL;DR: Different from conventional leader–follower type systems that transport an object by multiple robots in coordination, the present followers can plan an action based on their local coordinate and need no absolute positional information.