Journal of Advances in Artificial Life Robotics
Volume 2, Issue 1, June 2021
Research Article
1.Emotion recognition classification by EEG based on spectrum analysis
Tianyi Zhang1, Fengzhi Dai1,2, Di Yin1, Jichao Zhao1
1Tianjin University of Science and Technology, China
2Tianjin Tianke Intelligent and Manufacture Technology CO., LTD, China
pp. 1–5
ABSTRACT
Research shows that human emotion is closely related to the activity correlation
of cerebral cortex, so the research of emotion classification by EEG (Electroencephalogram)
provides a reliable basis. The feature extraction and classification application
for EEG has been greatly improved in recent years, so we use EEG to study
emotion classification. However, there are differences between EEG signals
of different subjects, which have a certain impact on emotion classification.
How to ensure the high accuracy and robustness of recognition is a problem.
For this problem, when studying different subjects in different states,
spectrum analysis can be used for their feature extraction. When the extracted
features are classified, discriminant analysis algorithm is used and achieved
better classification results. There are many methods involved in feature
extraction, and different feature extraction methods will be compared later,
so as to improve the robustness and efficiency of emotional classification
by EEG signals.
ARTICLE INFO
Article History
Received 25 October 2019
Accepted 28 February 2021
Keywords
EEG
Feature extraction
Channel selection
Spectrum analysis
Sentiment classification
JAALR2101
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Research Article
2.Graph-Based Path Generation for Robot Navigation in a Forest Environment
Ayumu Tominaga1, Eiji Hayashi1, Ryusuke Fujisawa1, Abbe Mowshowitz2
1Graduate School of Computer Science and Systems Engineering, Kyushu Institute
of Technology, 680-4 Kawazu, Iizuka, Fukuoka, Japan
2Department of Computer Science, The City College of New York, 160 Convent
Avenue, New York, NY 10031, USA
pp. 6–11
ABSTRACT
This study evaluates a trajectory generation method for the efficient navigation
of autonomous mobile robots in forests. We propose a graph-based cycle
generation method. A graph was generated using environmental landmarks
as nodes, and the graph was modified to be Eulerian. The Hamiltonian cycle
contained nodes that could be regarded as the midpoint between a pair of
landmarks; an efficient path could then be found. We applied this method
to an artificial forest to verify the feasibility.
ARTICLE INFO
Article History
Received 25 November 2019
Accepted 02 March 2021
Keywords
Path generation
Area coverage
Field robot
Navigation
Graph
Forestry
JAALR2102
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Research Article
3.An Automatic Water Supply System Based on KingView and PLC
Peng Lu1, Fengzhi Dai1,2, Tianyi Zhang1
1Tianjin University of Science and Technology, China;
2Tianjin Tianke Intelligent and Manufacture Technology CO., LTD, China
pp. 12–16
ABSTRACT
The existing water supply system has poor water supply quality and low
level of automatic control. Therefore, this paper designed an automatic
water supply system based on Siemens PLC and the software of KingView .
The pressure sensor in the water supply pipeline is used to detect the
pressure of the pipeline, and the liquid level sensor monitors the liquid
level in the tank. The sensor transmits the data to the PLC, and the PLC
issues the control instruction after the computation processing. The KingView
can realize real-time monitoring and fault alarm. The system can not only
avoid the problem of large fluctuation of water pressure, reduce the failure
rate of water supply equipment, but also realize the automatic control
of water supply system.
ARTICLE INFO
Article History
Received 25 October 2020
Accepted 06 May 2021
Keywords
KingView
Constant pressure water supply
PLC
Upper computer system
Remote control
JAALR2103
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Research Article
4.Extension of Striped Image by Inverse Line Convergence Index Filter to
Video
Toru Hiraoka1, Ryosuke Takaki2
1Department of Information Systems, University of Nagasaki, 1-1-1, Manabino
Nagayo-chou, Nishisonogi-gun, Nagasaki-ken, 815—2195, Japan
2Division of Computer Science, Graduate School of Regional Design and Creation,
University of Nagasaki, 1-1-1, Manabino, Nagayo-chou, Nishisonogi-gun,
Nagasaki-ken, 815-2195, Japan
pp. 17–21
ABSTRACT
A non-photorealistic rendering method has been proposed for generating
a striped image which is overlaid striped patterns in a photograph. The
conventional method generates the striped image by an iterative process
using an inverse line convergence index filter from the photograph. In
this paper, we propose a method to extend the method of generating the
striped image so that it can be applied to a video. In the proposed method,
it is possible to suppress flicker due to the striped patterns. To verify
the effectiveness of the proposed method, an experiment was conducted to
visually and quantitatively evaluate the degree of flicker using Yuzenzome
video. As a result of the experiment, it was found that the proposed method
can suppress flicker.
ARTICLE INFO
Article History
Received 06 November 2020
Accepted 10 May 2021
Keywords
Non-photorealistic rendering
Video
Striped pattern
Inverse line convergence index filter
JAALR2104
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Research Article
5.Deep Learning Methods for Robotic Arm Workspace Scene Reconstruction
Pei Yingjian, Eiji Hayashi, Sakmongkon Chumkamon
MIST, Hayashi Lab, Kyushu Institute of Technology, 680-4 Kawazu. Iizuka-shi,
Fukuoka 820-8502, Japan
pp. 22–26
ABSTRACT
This research is part of the Yaskawa Motoman Robot Autonomous Control Project,
which aims to map the real workspace in a virtual environment using a depth
camera mounted on the robot, and to plan the robot's autonomous obstacle
avoidance path based on the 3D octomap. The main tool used in this study
is RTAB-Map, which is based on the built-in handheld mapping scheme to
improve it to meet our actual needs. After the actual test, our solution
shows finer mapping accuracy, can update the map data in real time, and
the perception of obstacles within the field of view is more comprehensive,
but there is still a lot of room for optimizing the mapping speed.
ARTICLE INFO
Article History
Received 25 November 2020
Accepted 11 May 2021
Keywords
3D SLAM
Semantic segmentation
Point cloud
ROS
JAALR2105
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Research Article
6.Experimental Consideration on Requirements Specification of Haptic Device
that Presents Sensation Corresponding to Palm on Back of Hand for Teleoperation
of Robot Hand
Kyosuke Ushimaru, Noritaka Sato, Yoshifumi Morita
Department of Electrical and Mechanical Engineering, Graduate School of
Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya,
Aichi 466-8555, Japan
pp. 27–31
ABSTRACT
Teleoperated rescue robots have recently been on demand. However, it is
known that the teleoperation of a robot hand mounted on a rescue robot
is difficult. Therefore, we proposed a new haptic device that presents
a haptic sensation for the teleoperation of a robot hand. The device stimulates
the back of the hand instead of the palm of the operator. The determination
of the required specifications by an experiment with subjects is presented
in this paper. To design the device, the interval of the stimulation points
(i), the diameter of the stimulation point (d), and the force of the stimulation
(f) should be optimized. From the experimental results, we found that the
accuracy rate was highest, when (i, d, f) = (30mm, 6mm, 0.9kgf). Moreover,
we considered the decided specification in an additional experiment.
ARTICLE INFO
Article History
Received 25 November 2020
Accepted 11 May 2021
Keywords
Rescue robot
Haptic device
Teleoperation
Robot hand
Palm
JAALR2106
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Research Article
7.Real-Time AGVs moving control of Autonomous decentralized FMS by mind change
with deep learning
Hidehiko Yamamoto1, Ryunosuke Yamane2
1Department of Mechanical Engineering, Gifu University, Yanagido 1-1, Gifu,
Gifu 501-1194, Japan
2JR Tokai Information Systems Company, Ohzone, Higashi-ku, Nagoya, Japan
pp. 32–36
ABSTRACT
This study describes the control method of Automated Guided Vehicles (AGV)
movements by using a mind model in order to avoid AGVs interferences. The
mind uses the two types of mind, the arrogant mind and the modest mind
model. The interferences between AGVs are avoided by repeating the two
types of mind changes, the arrogant mind and the modest mind. The mind
model includes the deep learning system. By the mind including the deep
learning, we can improve the decrease of the route interference time.
ARTICLE INFO
Article History
Received 23 October 2020
Accepted 13 May 2021
Keywords
Autonomous decentralized FMS
AGV
Mind
Deep learning
JAALR2107
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Research Article
8.Extension of the Function to Ensure Real-time Traceability between UML
Sequence Diagram and Java Source Code on RETUSS
Kaoru Arima1, Tetsuro Katayama1, Yoshihiro Kita2, Hisaaki Yamaba1, Kentaro Aburada1, Naonobu Okazaki1
1Department of Computer Science and Systems Engineering, Faculty of Engineering,
University of Miyazaki, 1-1 Gakuen-kibanadai nishi, Miyazaki, 889-2192,
Japan
2Department of Information Security, Faculty of Information Systems, Siebold
Campus, University of Nagasaki, 1-1-1 Manabino, Nagayo-cho, Nishi-Sonogi-gun,
Nagasaki, 851-2195, Japan
pp. 37–41
ABSTRACT
Ensuring traceability of software deliverables is one of the methods to
ensure software quality. RETUSS (Real-time Ensure Traceability between
UML and Source-code System) is a tool that saves labor and time, and eliminates
mistakes by human handling in ensuring traceability between UML and source
code. However, RETUSS is not useful due to its limited scope of application.
This paper improves the usefulness of RETUSS by extending the function
to ensure real-time traceability between UML sequence diagrams and Java
source code on RETUSS.
ARTICLE INFO
Article History
Received 25 November 2020
Accepted 28 May 2021
Keywords
Software quality
Traceability
UML
Sequence diagram
Java
JAALR2108
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Research Article
9.Wallet Operation Inspection System Using Deep Learning for Image Processing
Junichiro Yamawaki1, Yasunari Yoshitomi2, Masayoshi Tabuse2, Taro Asada2
1Client System Development Dep., SKY Co., Ltd.,3-4-30 Miyahara,Yodogawa-ku,
Osaka 532-0003, Japan
2Graduate School of Life and Environmental Sciences, Kyoto Prefectural University,
1-5 Nakaragi-cho, Shimogamo, Sakyo-ku, Kyoto 606-8522, Japan
pp. 42–47
ABSTRACT
As the average age of Japan’s population increases, it is becoming increasingly
important to identify persons suffering from mild cognitive impairment
(MCI), which is one of the pre-stages of dementia, to ensure they have
proper care while working to suppress the progression of the disease. As
a method for investigating MCI, wallet operation evaluations have been
receiving considerable attention recently. Herein, we propose a system
for inspecting wallet operation based on deep learning for image processing.
In our system, the bills and coins extracted from a wallet are automatically
scanned and recognized, which makes it possible to evaluate a person’s
ability to correctly select and extract the correct bills and coins from
the wallet within a reasonable period
ARTICLE INFO
Article History
Received 19 October 2020
Accepted 25 June 2021
Keywords
Mild cognitive impairment
Dementia
Wallet operation inspection
Deep learning
Image processing
JAALR2109
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Research Article
10.Design of a Data-Driven Controller based on Estimated I/O Data using Open-Loop
Data
Yasuteru Nishiya, Takuya Kinoshita, Toru Yamamoto
Graduate School of Advanced Science and Engineering, Hiroshima University,
1-4-1, Kagamiyama, Higashihiroshima city, Hiroshima, Japan
pp. 48–52
ABSTRACT
In recent years, data-driven control that does not require system modeling
has been proposed and extended to a non-linear system by using the database.
At this time, various data are required to obtain good control performance
but the cost is required. In this paper, a new scheme that enables various
data generation and control system design from a set of open-loop data
is proposed. Besides, the filter is designed to keep the value of the reference
signal constant. A simulation example numerically verifies the effectiveness
of the proposed scheme.
ARTICLE INFO
Article History
Received 15 November 2020
Accepted 31 May 2021
Keywords
Data-driven control
PID controller
Response prediction
Offline
Reference signal
Filter
JAALR2110
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