Journal of Robotics, Networking and Artificial Life

Volume 5, Issue 1, June 2018
Takashi Yokomori
Pages: 6 - 9
Natural computing (NC) is an emerging area of research that investigates computing techniques and models inspired by nature on one hand, and it also investigates phenomena taking place in nature in terms of computational methodologies on the other hand. Thus, research in NC congenitally has interdisciplinary...
Caixia Gao, Tong Wu, Ziyi Fu
Pages: 10 - 14
Aiming at the problem that the vibration signal of the incipient fault is weak, an automatic and intelligent fault diagnosis algorithm combined with ensemble empirical mode decomposition (EEMD), principal component analysis (PCA) and probabilistic neural network (PNN) is proposed for rolling bearing...
Anne Jeannin-Girardon, Alexandre Bruyant, Nicolas Toussaint, Ismaila Diouf, Pierre Collet, Pierre Parrend
Pages: 23 - 26
Storing sensitive data in a centralized way can lead to significant loss, should the central node or networks links bedefective as is the case in numerous countries, especially developing countries. Consequently, this paper proposesto deal with this problem by diluting sensitive data into an ecosystem...
Yasunari Yoshitomi, Taro Asada, Kenta Mori, Ryoichi Shimada, Yuiko Yano, Masayoshi Tabuse
Pages: 37 - 40
We have developed a real-time system for expressing emotion as a pictograph selected according to the facial expression while writing a message. The image signal is analyzed by our real-time system using image processing software (OpenCV) and a previously proposed feature parameter. We applied the system...
R.K.P.S. Ranaweera, R.A.R.C. Gopura, T.S.S. Jayawardena, G.K.I. Mann
Pages: 45 - 51
This paper proposes a knee exoskeleton with passive-powering mechanism to provide power assistance to the knee joint during squat lifting of objects from the ground. It is designed to capture and store 20% of the biomechanical energy dissipated at the biological knee joint during decent phase and return...
Hidehiko Yamamoto, Keita Honda, Takayoshi Yamada
Pages: 52 - 55
The purpose of this research is to develop a system named DELUGA which automatically decides by genetic algorithm (GA) where to place a lot of assembled parts, jigs and robot hands in the workstation when designing a cell type assembly machine with a dual arms robot. In DELUGA, since the left and right...
Akira Nakamura, Kazuyuki Nagata, Kensuke Harada, Natsuki Yamanobe
Pages: 56 - 62
We have proposed an error recovery method using the concepts of task stratification and error classification. In this paper, the recovery process after the judgment of error is described in detail. In particular, we explain how to change the parameters of planning, modeling, and sensing when error recovery...
Fengzhi Dai, Yujie Yan, Baochang Wei, Yuxing Ouyang, Lingran An
Pages: 63 - 66
This paper designs a PID control system based on the BP neural network. The control system can adjust three adjustable parameters of PID controller through BP neural network algorithm. The main steam temperature control system of the thermal power plant was taken as the object, and simulation analysis...
Masao Kubo, Nhuhai Phung, Hiroshi Sato
Pages: 67 - 70
The BRT agent is an algorithm that can find appropriate collective behavior by changing the agreement contents in a trial and error manner. Computer experiments show that it is necessary to change the agreement contents the number of times that is proportional to the square of the number of choices....
Shingo Mabu, Kyoichiro Kobayashi, Masanao Obayashi, Takashi Kuremoto
Pages: 75 - 78
Supervised learning algorithms such as deep neural networks have been actively applied to various problems. However, in image classification problem, for example, supervised learning needs a large number of data with correct labels. In fact, the cost of giving correct labels to the training data is large;...