Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Kimiko MOTONAKA"'
Publikováno v:
International Journal on Smart Material and Mechatronics, Vol 1, Iss 1, Pp 16-19 (2016)
In this research, we present a control method usingkinodynamic motion planning based on a harmonic potential field(HPF) for an X4-Flyer moving in a 3-dimensional space. In theprevious research, it was confirmed that a controller using twoHPFs generat
Externí odkaz:
https://doaj.org/article/dbbbaa2d7c4f40ab82d77b2d7d1d74aa
Publikováno v:
International Journal on Smart Material and Mechatronics, Vol 2, Iss 2, Pp 110-115 (2015)
There is a concept called “kinodynamic motion planning” which can consider kinematic constraints and dynamic constraints simultaneously. In this paper, we test the proposed kinodynamic motion planning, which was confirmed in only simulations,
Externí odkaz:
https://doaj.org/article/c7c9ff983ed046a9a58608c976340bad
Publikováno v:
International Journal on Smart Material and Mechatronics, Vol 2, Iss 2 (2017)
There is a concept called “kinodynamic motionplanning” which can consider kinematic constraints and dynamicconstraints simultaneously. In this paper, we test the proposedkinodynamic motion planning, which was confirmed in onlysimulations, by an a
Externí odkaz:
https://doaj.org/article/a1ae65d7e4bf43169a51a382d37a3183
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 81, Iss 825, Pp 14-00631-14-00631 (2015)
Recently, it is expected to develop an autonomous robot working in a living environment. Motion planning is very important for an autonomous mobile robot, but kinematic constraints and dynamic constraints are generally solved separately in convention
Externí odkaz:
https://doaj.org/article/a0b321b2357e46afa6119298e558b7c9
Autor:
Kimiko Motonaka, Seiji Miyoshi
Publikováno v:
Advanced Robotics. 37:73-86
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1665-1674
Autor:
Seiji Miyoshi, Kimiko Motonaka
Publikováno v:
Journal of the Robotics Society of Japan. 39:459-462
Publikováno v:
Transactions of the Society of Instrument and Control Engineers. 56:31-36
Publikováno v:
IJCNN
In artificial Spiking Neural Networks (SNNs) the information processing and transmission are carried out by spike trains in a manner similar to the generic biological neurons. Recently it has been reported that they are computationally more powerful
Autor:
Hikaru Sasaki, Yoshihisa Tsurumine, Takumi Kaneko, Kimiko Motonaka, Yuhwan Kwon, Takamitsu Matsubara, Seiji Miyoshi
Publikováno v:
SII
In this paper, we propose a framework for model learning and control of complex non-linear systems from such high-dimensional and redundant sensor observations as raw pixel images. Our framework combines Kalman variational auto-encoder (KVAE) and mod