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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Book ChapterDOI
Autonomous Control for an Omnidirectional Mobile Robot with Feedback Control System
TL;DR: An active investigation is now focused on the study of omnidirectional mobile robots, instead of a conventional mobile robot with two independent driving wheels, or with the front-wheel handling and rear-wheel driving.
Proceedings ArticleDOI
The Design ofWave Shape for Coupled Van del Pol Oscillators
TL;DR: In this paper, a central pattern generator (CPG) for articulated robots is proposed based on the Van del Pol (VDP) oscillator, and the parameter design of VDP oscillator is considered with two cases which are single oscillator and two oscillators coupled with respect to one another, according to some numerical simulations.
Evaluating fuzzy voice commands by user guided visual attention for controlling a robot manipulator
TL;DR: A fuzzy logic based voice command evaluation system (VCES) is proposed to assess the fuzzy linguistic information in user commands and the user has been given the freedom to adjust command evaluation process by changing the attention level.
Book ChapterDOI
Polishing Robot with Human Friendly Joystick Teaching System
Fusaomi Nagata,Keigo Watanabe +1 more
TL;DR: In this article, a user-friendly joystick controlled teaching system has been proposed to obtain the skillful trajectory of each polishing tool based on operator's will, and the usefulness has been examined through some experiments on teaching and polishing using an industrial robot JS-10 with an open architecture controller.
Proceedings ArticleDOI
Intelligent interface and control of an exoskeletal robot for human shoulder motion support considering subject's arm posture
TL;DR: Intelligent interface is proposed, which realizes the fuzzy-neuro controller adjustment in accordance with the human subject's arm posture, in order to effectively control the 2-DOF exoskeletal robot for shoulder motion support.