Journal of Robotics, Networking and Artificial Life
Volume 7, Issue 2, September 2020
1. Selection System of Robot Type for Cell Assembly Production (Production Efficiency Comparison of Single and Double Arm Robot)
Hidehiko Yamamoto, Takahiro Watanabe, Takayoshi Yamada
Pages: 77 - 80
The purpose of this research is to compare the production efficiency of single and double arm robot. This research determines which robot is suitable for an assembly cell production, a single arm robot or a double arm robot. First, we develop the system to use a double arm robot to determine the best...
Moeko Tominaga, Yasunori Takemura, Kazuo Ishii
Pages: 81 - 85
With the progress of technology, the realization of a symbiotic society with human beings and robots sharing the same environment has become an important subject. An example of this kind of systems is soccer game. Soccer is a multi-agent game that requires strategies by taking into account each member’s...
Keiji Kamei, Masahiro Kaneoka, Ken Yanai, Masaya Umemoto, Hiroki Yamaguchi, Kazuki Osawa
Pages: 86 - 90
Drones have been used in many purposes for a long time. Especially, development of the automatic observation systems such as measurement using drones for the primary sector of industry have been frequently researched in recent years. The measurement of a tree growth in a forest is also one of the aim...
M. Rizon, C.K. Ang, Mahmud Iwan Solihin, Zuradzman Mohamad Razlan, Hazy Desa, Shahriman A. Bakar, Wan Khairunizam, Zunaidi Ibrahim
Pages: 91 - 97
Quadrotor is a type of unmanned aerial vehicle that has been widely used in many applications, such as, policing, surveillance, aerial photography and agriculture. Conventionally, the control of quadrotor flight direction is accomplished by varying speeds of rotors or manipulating torques. In this paper,...
Kaori Watanabe, Yuehang Ma, Hidekazu Suzuki
Pages: 98 - 102
This paper presents a self-localization technique using an omni-directional camera for an autonomous soccer robot. The position information of the robot is important for strategic behavior and cooperative operation. Therefore, we have proposed the self-localization method which generates the searching...
I-Hsien Liu, Cheng-Hsiang Lo, Ta-Che Liu, Jung-Shian Li, Chuan-Gang Liu, Chu-Fen Li
Pages: 103 - 106
We will display two different kinds of experiments, which are Network-based Intrusion Detection System (NIDS)-based and dynamic-based analysis shows how artificial intelligence helps us detecting and classify malware. On the NID, we use CICIDS2017 as a research dataset, embedding high dimensional features...
Rintaro Makino, Yasunari Yoshitomi, Taro Asada, Masayoshi Tabuse
Pages: 107 - 110
We previously proposed a method for adding emotions to synthetic speech using the vowel features of a speaker. For the initial investigation in this earlier study, we used utterances of Japanese names to demonstrate the method. In the present study, we use the proposed method to construct emotional synthetic...
Abdelrahman Radwan, Nazhatul Kamarudin, Mahmud Iwan Solihin, Hungyang Leong, Mohamed Rizon, Hazry Desa, Muhammad Azizi Bin Azizan
Pages: 111 - 115
K-means clustering algorithms of wireless sensor networks are potential solutions that prolong the network lifetime. However, limitations hamper these algorithms, where they depend on a deterministic K-value and random centroids to cluster their networks. But, a bad choice of the K-value and centroid...
Yaoyao Li, Li Wang, Huailin Zhao, Zhen Nie
Pages: 116 - 120
Context information is essential for crowd counting network to estimate crowd numbers, especially in the congested scene accurately. However, shallow layers of common crowd counting networks (i.e., congested scene recognition network) do not own large receptive filed so that they can’t efficiently utilize...
Yang Xia, Timothée Levi, Takashi Kohno
Pages: 121 - 124
By mimicking or being inspired by the nervous system, neuromorphic systems are designed to realize robust and power-efficient information processing by highly parallel architecture. Spike Timing Dependent Plasticity (STDP) is a common learning method for Spiking Neural Networks (SNNs). Here, we present...
Jiwu Wang, Xuechun Yuan
Pages: 125 - 128
Mobile teleoperation robot is one of the effective methods to help operators to work in complex environments. However, the time delay by distance is a key factor that restricts its application. To solve this problem, the motion trajectory of the robot is simulated using virtual reality technology and...
Pages: 129 - 132
Generalized Predictive Control (GPC) is one of the model-based control methods. The control law is derived by minimizing performance index, which includes the squares of control input and the squares of the error between reference signal and output prediction, in order to make the derived control system...
Luigi Pagliarini, Henrik Hautop Lund
Pages: 133 - 136
In this paper, we describe a set of designs of social playware by using the Moto Tiles. We tried to demonstrate the importance of the development of social playware by designing a number of social games that people can play together on one single tool. The design envisions play that mediates coordination...
Joo Kooi Tan, Kenta Hori, Seiji Ishikawa
Pages: 137 - 141
This paper proposes a pedestrian detection method using a MY VISION system. The MY VISION system is an image processing system using an ego-camera which a user of the system possesses, and it is expected to be the third eye of those who are aged, visually impaired or even those who are absorbed in a...
Pages: 142 - 145
We propose a method to convert sensory information into non-contact tactile sensation by vibrating of very low-frequency sound. The vibrator does not directly touch the object in a non-contact tactile sensation. Then, the object vibrates with the extremely low frequency. Previous research has shown that...