Journal of Robotics, Networking and Artificial Life

ISSN: 2352-6386
Volume 4, Issue 1, June 2017
Jiwu Wang, Yaodong Li, Zhijing Jian, Masanori Sugisaka
Pages: 1 - 4
In order to improve the accuracy in the On-line measurement of rail profile with a line structured light based on machine vision, the accurate extraction of a structured light stripe is a necessary and key step. An accurate extraction method is proposed for the structural light stripe in practical applications....
Yiwei Ru, Hongyue Du, Shuxiao Li, Hongxing Chang
Pages: 5 - 9
Aimed at the problem that the recognition accuracy of the monocular camera is low, we propose a binocular vision recognition algorithm for action recognition based on HART-Net(Human action recognition networks).Firstly, the left and right views obtained by the binocular camera are matched to obtain the...
Takuya Kinoshita, Toru Yamamoto
Pages: 14 - 17
In the development of the aging society, it is important for patients with hemiplegia to introduce adaptive welfare equipment. However, it is difficult to determine the suitable reference signal for each person. In this study, the design of a data-oriented cascade control system based on Kansei is proposed....
Hajime Itoh, Naohiko Hanajima, Yohei Muraoka, Makoto Ohata, Masato Mizukami, Yoshinori Fujihira
Pages: 18 - 21
Exercise support systems for the elderly have been developed and some were equipped with a motion sensor to evaluate their exercise motion. Normally, it provides three-dimensional time-series data of over 20 joints. In this study, we propose to apply Convolutional Neural Network (CNN) methodology to...
Go Nakamura, Taro Shibanoki, Yuichiro Honda, Akito Masuda, Futoshi Mizobe, Takaaki Chin, Toshio Tsuji
Pages: 22 - 27
This paper proposes a reaching movement model for the generation of desired trajectories within a myoelectric prosthesis training system. First, an experiment was performed to observe reaching movements with a non-impaired subject and a myoelectric prosthesis user. Reaching movements made by the prosthesis...
Kazuki Sugita, Taisuke Tanaka, Yuya Nakata, Minami Takato, Ken Saito, Fumio Uchikoba
Pages: 28 - 31
This paper proposes a hexapod type microrobot controlled by an artificial neural networks IC. The structural component of the microrobot is produced by micro electro mechanical systems (MEMS) process. The rotary actuator inside the robot is composed of the artificial muscle wire of shape memory alloy...
Haruna Kokubo, Taro Shibanoki, Takaaki Chin, Toshio Tsuji
Pages: 45 - 48
This paper proposes an obstacle avoidance method based on a multi-layered non-contact impedance model for control of the biosignal-based electric wheelchair. The proposed system can calculate a virtual repulsive force before the collision by multi-layered impedance fields covered around it. This system...
Ismael Baira Ojeda, Silvia Tolu, Moisés Pacheco, David Johan Christensen, Henrik Hautop Lund
Pages: 62 - 66
We scaled up a bio-inspired control architecture for the motor control and motor learning of a real modular robot. In our approach, the Locally Weighted Projection Regression algorithm (LWPR) and a cerebellar microcircuit coexist, in the form of a Unit Learning Machine. The LWPR algorithm optimizes the...
Tsutomu Ito, Katsuhiko Takahashi, Katsumi Morikawa, Takao Ito, Rajiv Mehta, Seigo Matsuno, Makoto Sakamoto
Pages: 81 - 86
A survey of the relevant literature reveals that a plethora of network analytic facets, such as degree, eigenvalue, density, block, cluster, have been developed and employed to further our understanding of network structures. To extend our understanding of network systems, additional dimensions need...
Taro Shibanoki, Go Nakamura, Takaaki Chin, Toshio Tsuji
Pages: 87 - 90
This paper proposes a voice signal-based manipulation method for the Bio-Remote environment control system. The proposed system learns relationships between multiple candidate words’ phonemes extracted by a largevocabulary speaker-independent model and control commands based on a self-learning look-up...
Takuya Nanami, Filippo Grassia, Takashi Kohno
Pages: 97 - 101
DSSN model is a qualitative neuronal model designed for efficient implementation in a digital arithmetic circuit. In our previous studies, we extended this model to support a wide variety of neuronal classes. Parameters of the DSSN model were hand-fitted to reproduce neuronal activity precisely. In this...
Yun-xiang Liu, Wei Zhang, Lan-feng Zhou
Pages: 102 - 105
Based on the characteristics of wireless sensor network communication in mine, LEACH protocol clustering is optimized, and the factors of energy and distance are considered fully. The selection of cluster head nodes is optimized, and a routing algorithm based on K-means ++ clustering is proposed. The...
Chung-Wen Hung, Yan-Ting Yu, Bo-Kai Huang, Wei-Lung Mao
Pages: 106 - 109
Ultra-high-speed motors play a very important role in machine tools. A speed-sensor-less ultra-high-speed motor driver is proposed in this paper. Without any speed sensor that is extremely expensive, the proposed driver employing a sensor-less estimation scheme can perform a closed-loop control very...