Journal of Robotics, Networking and Artificial Life
Volume 7, Issue 4, March 2021
Morten Roed Frederiksen, Massimiliano Leggieri, Henrik Hautop Lund
Pages: 217 - 221
For developing a novel kind of entertaining football and football training, we developed a playware ball prototype. The ball contains a microprocessor with WiFi connection and uses barometric pressure sensors and accelerometer data to track the ball movement in fast-paced football training games. The...
2. Study on Hybrid Position/Force Teaching and Control Method for 6 DoF Manipulator Utilizing f-PAWTED
Quang-Trung Chu, Hiroki Tanaka, Hideki Inuzuka, Yoshifumi Morita, Masao Sakai
Pages: 222 - 226
In this study, a parallel wire-type teaching device with a force sensor and a hybrid position/force teaching and control method are developed to facilely teach robot manipulators using human hands instead of teaching pendants. A direct teaching method based on a hybrid position/force control is proposed...
3. Heritage Building Modelling: Photogrammetry Challenges in Producing an As Built Drawing (ABD) Using Unmanned Aerial System (UAS)
Hazry Desa, Muhammad Azizi Azizan, Nik Noriman Zulkepli, Norsyakilah Romeli
Pages: 227 - 230
Tracking the heritage building changes has been a primary concern in an architectural works, as the building features may transformed due to periodic of time. In addition, the perseverance of heritage buildings seems taken lightly due to the eagerness of the Malaysian architect in designing urban anxious...
Jing Cao, Youtaro Yamashita, Joo Kooi Tan
Pages: 231 - 235
In recent years, research on computer vision has shown great advancement and has been applied to a wide range of fields. Among them, automatic recognition of human motion is an important technology especially in crime prevention and elderly watching systems. Considering this trend, the paper proposes...
Pages: 236 - 239
Robots, such as industrial robots, have been used in the world of industry since the 1970s. There has been particularly rapid development in the field of robots in recent years, and there has been progress in robot research in industries such as communications and automobiles. For this reason, in the...
Ninnart Fuengfusin, Hakaru Tamukoh
Pages: 240 - 244
In this paper, we introduce a network with sub-networks: a neural network whose layers can be detached into sub-neural networks during the inference phase. To develop trainable parameters that can be inserted into both base-model and sub-models, first, the parameters of sub-models are duplicated in the...
Pages: 245 - 248
The missions of micro-satellites range from early military usages to weather forecast, resources exploration, communication, and scientific experiment. The advantages of micro-satellites are simple mechanical structures, great reliability, low prices, and precise researchers and equipment. Therefore,...
Victor Pujolle, Eiji Hayashi
Pages: 249 - 252
Pose estimation algorithms’ goal is to find the position and the orientation of an object in space, given only an image. This task may be complex, especially in an uncontrolled environment with several parameters that can vary, like the object texture, background or the lightning conditions. Most algorithms...
Hung Guo, Evgeni Magid, Kuo-Hsien Hsia, Kuo-Lan Su
Pages: 253 - 257
The application of Internet of Things (IoT) has been widely used in our lives with the advancement of related software and hardware technologies. In order to make these IoT modules more intelligent, many IoT modules have begun to incorporate artificial intelligence algorithms. Therefore, this paper develops...
Pages: 258 - 261
Sensibility information generally has various elements. To extract the time evolution of each component, we propose a partial differentiation of sensibility using the concept of partial differentiation. By this method, various sensibility information can be discretized and informatized. In this paper,...
Yugo Tokura, Takao Sato, Ryota Yasui, Natsuki Kawaguchi, Nozomu Araki, Yasuo Konishi
Pages: 262 - 265
The aim of the present study is to improve the understanding of the control engineering for university students through the experience of the control experiment, and hence an experimental device is developed. The students are educated the control engineering using the device, and the educational effect...
12. Practical Learning of Science for Elementary School Students via Programming and Control Experimentation
Yoshihiro Ohnishi, Takeshi Nakano, Teruyuki Tamai, Shinnosuke Mori, Kazuo Kawada
Pages: 266 - 269
In Japan, it has been decided that programming education will be required in elementary schools from 2020. In the new study guidelines, new programming subjects will not be established, but programming will be handled within existing subjects such as mathematics and science. Therefore, it is desirable...
Bayu Priyambadha, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Nanoubu Okazaki
Pages: 270 - 274
The cohesion is one of the design quality indicators in software engineering. The measurement of the value of cohesion is done by looking at the correlation between attributes and methods that are in a class. In Direct Distance Design Class Cohesion (D3C2) metrics, attributes, and methods are assumed...
Fengzhi Dai, Haokang Wen, Jichao Zhao, Hongbo Hao, Qianqian Zhang
Pages: 275 - 278
In order to solve the problem of inconvenience of the existing heart rate and oxygen detection device, a portable heart rate oximeter is proposed in this paper. The device can detect and display the value of the heart rate, temperature and blood oxygen of the human body at any time. The instrument gets...
Li Wang, Fangbo Zhou, Huailin Zhao
Pages: 279 - 283
The problem of crowd counting in single images and videos has attracted more and more attention in recent years. The crowd counting task has made massive progress by now due to the Convolutional Neural Network (CNN). However, filters in the shallow convolutional layer of the CNN only model the local...