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.
Papers
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Proceedings ArticleDOI
Production of a Small-sized Tandem Rotor Aircraft with Two Tiltable Coaxial Rotors and Its Experiments
TL;DR: In this paper, the servo motor to be used for tilting the pitching angle of the tiltable rotor is exchanged to a multi-turned type to exclude the rotational restriction of tilt mechanism, so that it enhances the motion ability of the UAV.
Journal ArticleDOI
Stable Control of Robotic Manipulator with Collision Phenomena (5th Report, Audio-Feedback Control for Impact Sound Using a Learning Control)
Proceedings ArticleDOI
Orthogonal-type robot with a CAD/CAM-based position/force controller
Fusaomi Nagata,Shintaro Tani,Takanori Mizobuchi,Tetsuo Hase,Zenku Haga,Masaaki Omoto,Keigo Watanabe +6 more
TL;DR: A new desktop orthogonal-type robot with a CAD/CAM-based position/force controller is presented for finishing small metallic molds with curved surface, whose single robot has a high position accuracy and can perform higher resolutions of position and force, compared to general industrial robots.
Journal ArticleDOI
Lifting Judgment with a Boosting Algorithm for Robust Dead Reckoning When Carrying a Robot
TL;DR: In this paper, a lifting judgment for a wheeled mobile robot when the robot is carried by the person is proposed for a robust dead reckoning system, where the position of the robot on the ground is estimated by odometry, whereas that in the air is estimated via an inertial sensor.
Proceedings Article
Arbitrary trajectory tracking of a mobile robot by an image-based fuzzy controller
TL;DR: A method for tracking an arbitrary trajectory drawn on a floor by an IBVS method using a fuzzy controller designed to determine control inputs from parameters of a linearized target trajectory on captured images is proposed.