Zobrazeno 1 - 10 of 15 pro vyhledávání: '"Kohtaro Sabe"'
1
Aerodynamic Drag of a Tilt-Rotor UAV During Forward Flight in Rotary-Wing Mode
Autor: Takateru Urakubo, Koki Wada, Kohtaro Sabe, Shinji Hirai, Masafumi Miwa
Publikováno v: Journal of Robotics and Mechatronics. 35:417-423
This paper examines the aerodynamic drag force acting on a tilt-rotor UAV that has three mini fans and a main rotor with a tilt mechanism. The mini fans are embedded in the nose and the left and right wings. The main rotor is located near the center
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::03895010c8ef2f69c76224b619d82f2e
https://doi.org/10.20965/jrm.2023.p0417
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6
Self-Regulation Mechanism: A Principle for Continual Autonomous Learning in Open-Ended Environments
Autor: Kohtaro Sabe, Kuniaki Noda, Kenta Kawamoto, Yukiko Hoshino
Publikováno v: Journal of the Robotics Society of Japan. 29:77-88
Continual and autonomous learning are key features for a developmental agent in open-ended environments. This paper presents a mechanism of self-regulated learning to realize them. Considering the fact that learning progresses only when the learner i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ca84da5b062ac244b36790f546625cae
https://doi.org/10.7210/jrsj.29.77
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7
Multiple plane segmentation from stereo with the application of stair climbing for humanoid robots
Autor: Jens-Steffen Gutmann, Kenta Kawamoto, Masaki Fukuchi, Kohtaro Sabe
Publikováno v: IFAC Proceedings Volumes. 37:758-763
Segmenting range images into planar regions is an important technique for many applications including mobile robot navigation. We present an efficient method for precise segmentation of stereo range images into multiple planar regions. The method is
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3dea43fdc9bba9209f7e95762257822e
https://doi.org/10.1016/s1474-6670(17)32071-2
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9
Body area segmentation from visual scene based on predictability of neuro-dynamical system
Autor: Kuniaki Noda, Tetsuya Ogata, Hiroshi G. Okuno, Kohtaro Sabe, Harumitsu Nobuta, Kenta Kawamoto, Shun Nishide
Publikováno v: IJCNN
We propose neural models for segmenting the area of a body from visual scene based on predictability. Neuroscience has shown that a prediction model in brain, which predicts sensory-feedback from motor command, can divide the sensory-feedback into th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::160f92fed6f00c937b2167c818009984
https://doi.org/10.1109/ijcnn.2012.6252530
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10
A generative model for developmental understanding of visuomotor experience
Autor: Takashi Hasuo, Kuniaki Noda, Kohtaro Sabe, Kenta Kawamoto
Publikováno v: ICDL-EPIROB
By manipulating objects in their environment, infants learn about the surrounding environment and continuously improve their internal model of their own body. Moreover, infants learn to distinguish parts of their own body from other objects in the en
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::141b1192c6f4f8908a58faf159b282e8
https://doi.org/10.1109/devlrn.2011.6037357
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Plný text Recenzováno Digitální knihovna AV ČR
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