Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Tomohide Naniwa"'
Autor:
Shinnosuke Nomura, Yasutake Takahashi, Katsuya Sahashi, Shota Murai, Masayuki Kawai, Yoshiaki Taniai, Tomohide Naniwa
Publikováno v:
Applied Sciences, Vol 9, Iss 1, p 164 (2019)
In this study, we propose a novel power assist control method for a powered exoskeleton without binding its legs. The proposed method uses motion sensors on the wearer’s torso and legs to estimate his/her motion to enable the powered exoskeleton to
Externí odkaz:
https://doaj.org/article/f75ed27a0a4740a790e06a74b54cfc80
Publikováno v:
Biological Cybernetics. 116:517-526
In human upper-arm reaching movements, the variance of the hand position increases until the middle of the movement and then decreases toward the endpoint. Such decrease in positional variance has been suggested as an evidence to support the hypothes
Autor:
Yoshiaki Taniai, Tomohide Naniwa
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 23:997-1003
When a nuclear power disaster occurs at a nuclear power plant, it is hazardous for humans to enter the plant. If robots could remove radioactive substances adhering to a plane such as a plant wall, humans would be able to enter the plant to investiga
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 20:477-483
Powered exoskeletons have been proposed and developed in various works with the aim of compensating for motor paralysis or reducing weight, workload, or metabolic energy consumption. However, development of the power-assist system depends on the deve
Autor:
Masayuki Kawai, Yoshiaki Taniai, Yudai Ishizuka, Shota Murai, Yasutake Takahashi, Tomohide Naniwa
Publikováno v:
SMC
This paper proposes walk pattern modeling for powered exoskeleton based on complex-valued neural network and reports its validity through experiments. We have been developing a powered exoskeleton to support workers at a nuclear power plant in time o
Autor:
Tomohide Naniwa, Munadi
Publikováno v:
Journal of Robotics and Mechatronics. 25:737-747
This paper presents an experimental study to verify an adaptive dominant type hybrid adaptive and learning controller for acquiring an accurate trajectory tracking of periodic desired trajectory of robot manipulators. The proposed controller is devel
Publikováno v:
2016 8th International Conference on Information Technology and Electrical Engineering (ICITEE).
One of challenges in aerial grasping is the dynamic change in the center of gravity (CoG). The control system design of quadrotor must be able to compensate for the dynamic change in the CoG of the quadrotor. It is caused when a quadrotor flies and c
Publikováno v:
2016 6th International Annual Engineering Seminar (InAES).
Sometimes the conventional feedback control can not work well to cope with the changes that vary in its dynamic system. The parameters of the dynamic system that changes with time lead to a conventional feedback control system is not able to maintain
Autor:
Tomohide Naniwa, Munadi
Publikováno v:
Advanced Robotics. 26:45-61
This paper proposes a new hybrid adaptive and learning control method based on combining model-based adaptive control, repetitive learning control (RLC) and proportional–derivative control to consider the periodic trajectory tracking problem of rob
Autor:
Katsuya Sahashi, Yoshiaki Taniai, Shota Murai, Yasutake Takahashi, Masayuki Kawai, Shinnosuke Nomura, Tomohide Naniwa
Publikováno v:
Applied Sciences, Vol 9, Iss 1, p 164 (2019)
Applied Sciences
Volume 9
Issue 1
Applied Sciences
Volume 9
Issue 1
In this study, we propose a novel power assist control method for a powered exoskeleton without binding its legs. The proposed method uses motion sensors on the wearer&rsquo
s torso and legs to estimate his/her motion to enable the powered exosk
s torso and legs to estimate his/her motion to enable the powered exosk