研究者詳細 - 安川　真輔

論文 - 安川　真輔

分割表示 >> ／全件表示66 件中 1 - 66 件目

船底清掃用水中ロボットの開発査読有り

石井和男, 松尾貴之, 園田隆, 武村泰範, 眞田篤, 西田祐也, 安川真輔, 山本冰賀, 浦環

マリンエンジニアリング ( 公益社団法人日本マリンエンジニアリング学会 ) 59 ( 4 ) 483 - 490 2024年07月

Computational Analysis of Receptive Fields of Retinal Ganglion Cell During Fixational Eye Movements 国際誌

Hiroyuki Yokota, Yuki Hayashida, Shinsuke Yasukawa

Proceedings of 5th International Symposium on Neuromorphic AI Hardware ( 5th International Symposium on Neuromorphic AI Hardware ) 2024年03月

Neuromorphic Spikes Generated by the Retinal Circuit Emulator for Training 3-Dimentinal Convolutional Neural Networks to Reconstruct Natural Images 査読有り国際誌

Tomoya Nokura, Ryosuke Okada, Shinjiro Yamamasu, Shinsuke Yasukawa, Yuki Hayashida

Proceedings of 2023 IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI) ( IEEE ) 2023年11月

Grid Map Correction for Fall Risk Alert System Using Smartphone 査読有り

Daigo Katayama, Kazuo Ishii, Shinsuke Yasukawa, Yuya Nishida, Satoshi Nakadomari, Koichi Wada, Akane Befu, Chikako Yamada

Journal of Robotics and Mechatronics ( Fuji Technology Press Ltd. ) 35 ( 3 ) 867 - 878 2023年06月

Time-Synchronized Projector–Camera System Design and Underwater Sharpening Image Acquisition Experiment 査読有り

Jinlun Han, Hyoga Yamamoto, Yuya Nishida, Shinsuke Yasukawa

Proceedings of 2023 IEEE Underwater Technology (UT) 2023年03月

Data-driven FEM modeling of elastic cables for robotic manipulation tasks 査読有り国際誌

Enrico di Maria, Shinsuke Yasukawa

Proceedings of 15th International Conference on Computer and Automation Engineering ( IEEE ) 2023年03月

Fall Risk Estimation for Visually Impaired using iPhone with Li-DAR 査読有り国際誌

Daigo Katayama, Kazuo Ishii, Shinsuke Yasukawa, Yuya Nishida, Satoshi Nakadomari

Journal of Robotics, Networking and Artificial Life 9 ( 4 ) 349 - 357 2023年03月

Report on the 8th Tomato-Harvesting Competition toward Smart Agriculture 査読有り

Kazuo Ishii, Takayuki Matsuo, Yasunori Takemura, Takashi Sonoda, Atsushi Sanada, Moeko Tominaga, Yuya Nishida, Shinsuke Yasukawa, Kanako Shirahashi, Takuya Fujinaga, Daisaku Arita, Kazushi Kawajiri, Kenich Ohshima, Masayuki Okada

Proceedings of 2023 International Conference on Artificial Life and Robotics 486 - 489 2023年02月

A simulation model for analyzing the spatiotemporal receptive field of retinal ganglion cells in the presence of fixational eye movements 査読有り国際誌

Hiroyuki Yokota, Yuki Hayashida, Shinsuke Yasukawa

Proceedings of 2023 International Conference on Artificial Life and Robotics 552 - 555 2023年02月

Event-Driven Particle Filter for Tracking Irregularly Moving Objects 査読有り国際誌

Yuki Kawasaki, Masahiro Ohtani, Shinsuke Yasukawa

Proceedings of 2023 International Conference on Artificial Life and Robotics ( ALife Robotics Corporation Ltd. ) 548 - 551 2023年02月

Development of a Tomato Harvesting Robot for Farm Field 査読有り国際誌

Shunsuke Oda, Ryuma Fukumoto, Kensuke Hirata, Shu Tahara, Keisuke Yoshida, Shinsuke Yasukawa, Kazuo Ishii

Proceedings of 2023 International Conference on Artificial Life and Robotics 2023年02月

Design and Development of Ocean Debris Collecting Unmanned Surface Vehicle and Performance Evaluation of Collecting Device in Tank 査読有り国際誌

Jonghyun Ahn, Shunsuke Oda, Shota Chikushi, Takashi Sonoda, Shinsuke Yasukawa

Journal of Robotics, Networking and Artificial Life ( ALife Robotics Corporation Ltd. ) 9 ( 3 ) 209 - 215 2022年12月

Toward Smart Tomato Greenhouse: The 6th Tomato-Harvesting-Robot Competition and Regulation Changes Aiming at Practical Application 査読有り

Takayuki Matsuo,Yasunori Takemura, Takashi Sonoda, Yuya Nishida, Shinsuke Yasukawa, Kazuo Ishii

Journal of Robotics, Networking and Artificial Life ( ALife Robotics Corporation Ltd. ) 9 ( 1 ) 13 - 19 2022年06月

Development of Small-size Jellyfish Removal ROV and its Evaluation of Removal Motion Performance in Tank 査読有り国際誌

Jonghyun Ahn , Hiroyuki Yokota, Shinsuke Yasukawa

Journal of Robotics, Networking and Artificial Life ( ALife Robotics Corporation Ltd. ) 9 ( 1 ) 66 - 71 2022年06月

テレロボティクスインターフェイスを有した生物捕獲用自律型海中ロボット査読有り

西田祐也，園田隆，安川真輔，安鍾賢，渡邉啓介，石井和男

海洋調査技術 32 ( 1-2 ) 124 - 129 2022年04月

A robotic vision system emulating fixational eye movements and retinal sampling 査読有り国際誌

Takanori Yotsumoto, Yuki Hayashida, Shinsuke Yasukawa

Proceedings of 2022 International Conference on Artificial Life and Robotics 27 519 - 523 2022年01月

Tomato Harvesting in Greenhouse Considering the Effect of Sunlight 査読有り国際誌

Kai Shioji, Shinsuke Yasukawa, Kazuo Ishii

Proceedings of 2022 International Conference on Artificial Life and Robotics 27 360 - 364 2022年01月

Exercise on Environmental Monitoring and Control of Green house by IoT Devices toward Smart Agriculture 査読有り国際誌

Yuya Nishida, Ryuugo Mochizuki, Shinsuke Yasukawa, Kazuo Ishii

Proceedings of 2022 International Conference on Artificial Life and Robotics 27 367 - 373 2022年01月

Fall Risk Notification System using LiDAR Sensor for the Visually Impaired People 査読有り国際誌

Daigo Katayama, Kazuo Ishii, Shinsuke Yasukawa, Satoshi Nakadomari, Koichi Wada, Akane Befu, Chikako Yamada

Proceedings of 2022 International Conference on Artificial Life and Robotics 27 745 - 749 2022年01月

Development of Remotely Operated Vehicle for Small-size Jellyfish Extermination and its Evaluation of Extermination Motion Control 査読有り国際誌

Hiroyuki Yokota, Shinsuke Yasukawa, Jonghyun Ahn

Proceedings of 2022 International Conference on Artificial Life and Robotics 27 797 - 802 2022年01月

施設園芸を対象としたトマト果実自動収穫ロボットの開発招待有り査読有り

藤永拓矢, 安川真輔, 石井和男

日本ロボット学会誌 ( 一般社団法人日本ロボット学会 ) 39 ( 10 ) 921 - 925 2021年12月

小型クラゲ駆除を目的とした自律型水中ロボットの開発および駆除装置の性能評価査読有り

安鍾賢, 筑紫彰太, 安川真輔, 園田隆

設計工学 ( 公益社団法人日本設計工学会 ) 57 ( 4 ) 181 - 190 2021年10月

記述言語：日本語掲載種別：研究論文（学術雑誌）

In recent years, extermination work has been carried out due to the increase in the number of jellyfish. In this research, we design and develop an AUV (Autonomous Underwater Vehicle) and conduct a jellyfish crushing experiment for the purpose of automating jellyfish extermination work. In the design and development of an AUV, electronic parts to operate autonomously were selected, and each electronic part was placed inside the hull to create a system diagram of them. Regarding the jellyfish extermination device, we designed and developed a device that sucks and crushes jellyfish together with water from the suction port. In this experiment, a jellyfish extermination device was mounted on developed AUV, and a crushing experiment was conducted using a jellyfish sample which is made by water and gelatin. As a result, it was confirmed that a jellyfish sample with a diameter of about 7 cm and a height of about 11 cm could be crushed to small pieces, which has average of volume 2885.6 mm3, during less in about 8 seconds.

DOI： 10.14953/jjsde.2021.2931

Kyutacar

CiNii Article

CiNii Research

その他リンク： https://www.jstage.jst.go.jp/article/jjsde/advpub/0/advpub_2021.2931/_article/-char/ja

Development and Evaluation of a Tomato Fruit Suction Cutting Device 査読有り

Takuya Fujinaga, Shinsuke Yasukawa, Kazuo Ishii

2021 IEEE/SICE International Symposium on System Integrations (SII) ( IEEE/SICE ) 628 - 633 2021年01月

Evaluation of Tomato Fruit Harvestability for Robotic Harvesting 査読有り

Takuya Fujinaga, Shinsuke Yasukawa, Kazuo Ishii

2021 IEEE/SICE International Symposium on System Integrations (SII) ( IEEE/SICE ) 35 - 39 2021年01月

Underwater 3D Scanner Using RGB Laser Pattern 査読有り国際誌

Yuya Nishida, Shinsuke Yasukawa, Kazuo Ishii

2021 IEEE/SICE International Symposium on System Integrations (SII) ( IEEE/SICE ) 2021年01月

Underwater image reconstruction using convolutional auto-encoder 査読有り

Shinsuke Yasukawa, Sreeraman Srinivasa Raghura, Yuya Nishida, Kazuo Ishii

Proc. of ICAROB2021 262 - 265 2021年01月

Tomato-harvesting-robot competition towards smart agriculture 招待有り査読有り

Kazuo Ishii, Takayuki Matsuo, Yasunori Takemura, Takashi Sonoda, Yuya Nishida, Shinsuke Yasukawa, Takuya Fujinaga

Proc. of ICAROB2021 1 - 5 2021年01月

A Greenhouse Project toward Smart Agriculture 査読有り

Kazuo Ishii, Yuya Nishida, Shinsuke Yasukawa, Kanako Shirahashi, Yasunori Takemura, Takayuki Matsuo

Proc. of ICAROB2021 409 - 412 2021年01月

Tomato-Harvesting Robot Competition: Aims and Developed Robot of 6th Competitions 査読有り

Takayuki Matsuo, Yasunori Takemura, Takashi Sonoda, Yuya Nishida, Shinsuke Yasukawa, Kazuo Ishii

Proc. of ICAROB2021 397 - 400 2021年01月

Tomato growth state map for the automation of monitoring and harvesting 査読有り

Fujinaga T., Yasukawa S., Ishii K.

Journal of Robotics and Mechatronics 32 ( 6 ) 1279 - 1291 2020年12月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2020, Fuji Technology Press. All rights reserved. To realize smart agriculture, we engaged in its system-atization, from monitoring to harvesting tomato fruits using robots. In this paper, we explain a method of generating a map of the tomato growth states to mon-itor the various stages of tomato fruits and decide a harvesting strategy for the robots. The tomato growth state map visualizes the relationship between the maturity stage, harvest time, and yield. We propose a generation method of the tomato growth state map, a recognition method of tomato fruits, and an estimation method of the growth states (maturity stages and harvest times). For tomato fruit recognition, we demonstrate that a simple machine learning method using a limited learning dataset and the optical properties of tomato fruits on infrared images exceeds more com-plex convolutional neural network, although the results depend on how the training dataset is created. For the estimation of the growth states, we conducted a survey of experienced farmers to quantify the maturity stages into six classifications and harvest times into three terms. The growth states were estimated based on the survey results. To verify the tomato growth state map, we conducted experiments in an ac-tual tomato greenhouse and herein report the results.

DOI： 10.20965/jrm.2020.p1279

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85098498979&origin=inward

Robot competition for underwater technology researchers and students 査読有り

Yuya Nishida, Takashi Sonoda, Takayuki Matsuo, Shinsuke Yasukawa, Masanori Sato, Yasunori Takemura, Kazuo Ishii

Journal of Advances in Artificial Life Robotics 1 ( 1 ) 11 - 15 2020年06月

An Optical Image Transmission System for Deep Sea Creature Sampling Missions Using Autonomous Underwater Vehicle 査読有り

Ahn J., Yasukawa S., Sonoda T., Nishida Y., Ishii K., Ura T.

IEEE Journal of Oceanic Engineering 45 ( 2 ) 350 - 361 2020年04月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 1976-2012 IEEE. The exploration of oceans using autonomous underwater vehicles (AUVs) is necessary for activities, such as the sustainable management of fishery resources, extraction of seafloor minerals and energy resources, and inspection of underwater infrastructure. As the next step in ocean exploration, AUVs are expected to employ end-effectors to make physical contact with seafloor creatures and materials. We propose a scenario for realizing a sampling mission using an AUV that is equipped to sample marine life. In this scenario, the sampling AUV observes the seafloor while concurrently transmitting the observed images to a surface vessel for inspection by the AUV operators. If the received images show an object of interest, the object is selected as a candidate of sampling target by the operators, who send a sampling command to the AUV. After receiving the command, the AUV returns to the target area and attempts to sample it. In this paper, we propose a system for transmitting images of the seafloor as part of the sampling-mission scenario. The proposed image transmission system includes a process for enhancing images of the deep seafloor, a process for selecting interesting images, and processes for compressing and reconstructing images. The image enhancement process resolves imaging problems resulting from light attenuation, such as color attenuation and uneven illumination. The process for selecting interesting images selects those that contain interesting objects, such as marine life. The selection process prevents the transmission of meaningless images that contain only flat sand on the seafloor. The proposed image compression method, which is based on color depth compression, reduces the amount of data. The combined process of selecting an interesting image and compressing it reduces various problems in acoustic communication, such as low information density and data loss. Instead of an overall image, part of an overall image is transmitted by a set of data packet, and each received data packet is reconstructed onboard the vessel. Because of image compression, the colors of a reconstructed image differ from those of an enhanced image. However, the reconstructed image contains similar colors, and the structural similarity index was found to be 91.4% by evaluating images that were subjected to a 4-b color compression. The proposed image transmission system was tested in the Sea of Okhotsk, and these tests were performed four times in different sea areas (minimum depth 380 m, maximum depth 590 m). The results show that the size of the data for a single image was reduced by a factor of 18 using the proposed image compression process, with each image taking 3.7 s to be transmitted via an acoustic modem (20 kb/s). Of the automatically selected images, 63% contained marine life, and the total transmission success rate was 22%.

DOI： 10.1109/JOE.2018.2872500

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85055860272&origin=inward

Field Experiments of Underwater Image Transmission for AUV 査読有り

Shinsuke Yasukawa, Yuya Nishida, Jonghyun Ahn, Takashi Sonoda, Kentaro Yanagise, Keisuke Watanabe, Kazuo Ishii

In Proceedings of the 2020 International Conference on Artificial Life and Robotics 171 - 174 2020年01月

Reports on the 7th Underwater Robot Festival in Kitakyushu 査読有り

Yuya Nishida, Takashi Sonoda, Takayuki Matsuo, Shinsuke Yasukawa, Masanori Sato, Yasunori Takemura, Kazuo Ishii

In Proceedings of the 2020 International Conference on Artificial Life and Robotics 110 - 113 2020年01月

Sea Trials for Benthos Sampling Using Autonomous Underwater Vehicle 査読有り

Yuya Nishida, Shinsuke Yasukawa, Takashi Sonoda, Keisuke Watanabe, Kazuo Ishii

In Proceedings of the 2020 International Conference on Artificial Life and Robotics 167 - 170 2020年01月

Evaluation of Underwater Vehicle's Self-Localization Based on Visual Odometry or Sensor Odometry 査読有り

Yoshiki Tanaka, Akio Semmyo, Yuya Nishida, Shinsuke Yasukawa, Jonghyun Ahn, Kazuo Ishii

In Proc. of the 14th IEEE International Conference on Industrial and Information Systems (ICIIS) 2019 1 - 6 2019年12月

Entropy-Based Exposure Time Setting for　an Adaptive Multi-Exposure Image Fusion 査読有り国際誌

Shinsuke YASUKAWA, Tomohiro NASUNO, Kazuo ISHII

In Proc. of the 14th IEEE International Conference on Industrial and Information Systems (ICIIS) 2019 1 - 6 2019年12月

Entropy-Based Exposure Time Setting for an Adaptive Multi-Exposure Image Fusion 査読有り

Yasukawa S., Nasuno T., Ishii K.

2019 IEEE 14th International Conference on Industrial and Information Systems: Engineering for Innovations for Industry 4.0, ICIIS 2019 - Proceedings 529 - 534 2019年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

© 2019 IEEE. We investigated the setting method of exposure times for an adaptive multi-exposure image fusion. Because the range of luminance in the natural environment is wide and objects in captured image have inherent optical properties, the vision system need to adapt to the input light. The proposed system comprises an image sensor module and a field-programmable gate array (FPGA) which is composed of control signal generator for an image sensor, HDR (High-dynamic-range) image generator/evaluator. In this study, we employed and evaluated maximum entropy of HDR image as the exposure time setting method.

DOI： 10.1109/ICIIS47346.2019.9063302

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084139742&origin=inward

Evaluation of underwater vehicle's self-localization based on visual odometry or sensor odometry 査読有り

Tanaka Y., Semmyo A., Nishida Y., Yasukawa S., Ahn J., Ishii K.

2019 IEEE 14th International Conference on Industrial and Information Systems: Engineering for Innovations for Industry 4.0, ICIIS 2019 - Proceedings 384 - 389 2019年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

© 2019 IEEE. This research focuses on two self-localization methods for observation of the sea floor and sampling. One is a method of estimate the self-localization using Kalman filter from the acceleration data calculated from equation of motion and the velocity data considering the effect of underwater vehicle's oscillation. The other is visual odometry using a stereo camera. The AUV was deployed in a sea area 40m depth to evaluate the performance of self-localization estimated by two methods. Self-localization estimation using Kalman filter was less accurate than visual odometry, but it was confirmed that the variance of the estimated velocity was smaller than before estimation. In the visual odometry using stereo camera, it was confirmed that the estimation error depends on the travel direction of AUV and the moving direction of a stereo camera.

DOI： 10.1109/ICIIS47346.2019.9063345

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084155438&origin=inward

Sensing and Modeling Methods for an intelligent tomato harvesting platform 査読有り国際誌

Shinsuke Yasukawa, Takuya Fujinaga, Tomohiro Nasuno, Kota Sunamoto, Kazuo Ishii

In Proc. of International Symposium on Applied Science 2019 (ISAS2019) 1 - 2 2019年10月

System Development of Tomato Harvesting Robot Based on Modular Design 査読有り

Takuya Fujinaga, Shinsuke Yasukawa, Kazuo Ishii

In Proc. of Smart Info-Media Systems in Asia (SISA 2019), 2019 International Workshop on SISA 2019 1 - 6 2019年09月

Development and Sea Trials of Vision-Based-Control for Sampling-AUV 査読有り

Shinsuke Yasukawa, Yuya Nishida, Jyonhyon Ahn, Takashi Sonoda, Keisuke Watanabe, Kazuo Ishii

2019 IEEE Symposium on Underwater Technology 2019年04月

Benthos Sampling by Autonomous Underwater Vehicle Equipped a Manipulator with Suction Device 査読有り

Jonghyun Ahn, Takashi Sonoda, Kazuo Ishii, Shinsuke Yasukawa, Sotaro Takashima, Yuya Nishida, Tamaki Ura

2019 IEEE International Underwater Technology Symposium, UT 2019 - Proceedings 2019年04月

End-effector for robotic harvesting of a tomato fruit with calyx 査読有り

Binghe Li, Shinsuke Yasukawa, Takuya Fujinaga, Kazuo Ishii

International Conference of Artificial Life and Robotics 2019 2019年01月

System Development of AUV’s Sampling Device Controller Employing MATLAB/Simulink Toolboxes 査読有り

Takashi Sonoda, Shinsuke Yasukawa, Ahn Jonghyun, Yuya Nishida, Kazuo Ishii

International Conference of Artificial Life and Robotics 2019 2019年01月

Saliency Map Based on Maximization of Difference between Central and Surround Visions and Its Relationship with Image Feature Points 査読有り

Ryuugo Mochizuki, Shinsuke Yasukawa, Kazuo Ishii

International Conference of Artificial Life and Robotics 2019 2019年01月

Inspection System for Underwater Structure of Bridge Pier 査読有り

Takumi Ueda , Hiyoyasu Hirai, Kazuki Fuchigami, Ryoma Yuki, Ahn Jonghyun, Shinsuke Yasukawa ,Yuya Nishida ,Takashi Sonoda , Kazuo Ishii,Katsunori Higashi ,Katsunori Tanaka ,Tomomasa Ikeda

International Conference of Artificial Life and Robotics 2019 2019年01月

An Optical Image Transmission System for Deep Sea Creature Sampling Missions Using Autonomous Underwater Vehicle 査読有り

Ahn Jonghyun, Shinsuke Yasukawa, Takashi Sonoda, Yuya Nishida, Kazuo Ishii, Tamaki Ura

IEEE Journal of Oceanic Engineering 2018年10月

Automatic Detection of Location and Maturity of Tomato Fruit with Wide Range Mosaic Image of Cultivation Block on Dutch Venlo Greenhouse 査読有り

Takuya Fujinaga, Shinsuke Yasukawa, Kazuo Ishii

Proceedings of the 9 th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering (ISMAB) 2018年05月

Flounders Measurement System Using Obtained Optical Images by AUV 査読有り

Jonghyun Ahn, Takashi Sonoda, Kazuo Ishii, Shinsuke Yasukawa, Sotaro Takashima, Yuya Nishida, Tamaki Ura

In 2018 OCEANS-MTS/IEEE Kobe Techno-Oceans (OTO) 2018年05月

Recognition of Tomato Fruit Regardless of Maturity by Machine Learning Using Infrared Image and Specular Reflection 査読有り

Takuya Fujinaga, Shinsuke Yasukawa, Binghe Li, Kazuo Ishii

International Conference of Artificial Life and Robotics 2018 2018年02月

Seafloor Image Color Enhancement Method based on Retinex model and Experiment Report in the undersea environment 査読有り

Jonghyun Ahn,　Shinsuke Yasukawa, Yuya Nishida, Takashi Sonoda, Keisuke Watanabe, Kazuo Ishii

International Conference of Artificial Life and Robotics 2018 2018年02月

Vision System for an Autonomous Underwater Vehicle with a Benthos Sampling Function 査読有り

Yasukawa Shinsuke, Ahn Jonghyun, Nishida Yuya, Sonoda Takashi, Ishii Kazuo, Ura Tamaki

Journal of Robotics and Mechatronics 30 ( 2 ) 248 - 256 2018年01月

記述言語：英語掲載種別：研究論文（学術雑誌）

We developed a vision system for an autonomous underwater robot with a benthos sampling function, specifically sampling-autonomous underwater vehicle (AUV). The sampling-AUV includes the following five modes: preparation mode (PM), observation mode (OM), return mode (RM), tracking mode (TM), and sampling mode (SM). To accomplish the mission objective, the proposed vision system comprises software modules for image acquisition, image enhancement, object detection, image selection, and object tracking. The camera in the proposed system acquires images in intervals of five seconds during OM and RM, and in intervals of one second during TM. The system completes all processing stages in the time required for image acquisition by employing high-speed algorithms. We verified the effective operation of the proposed system in a pool.

DOI： 10.20965/jrm.2018.p0248

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130007499244

Underwater Platform for Intelligent Robotics and its Application in Two Visual Tracking Systems 査読有り

Nishida Yuya, Sonoda Takashi, Yasukawa Shinsuke, Nagano Kazunori, Minami Mamoru, Ishii Kazuo, Ura Tamaki

Journal of Robotics and Mechatronics 30 ( 2 ) 238 - 247 2018年01月

記述言語：英語掲載種別：研究論文（学術雑誌）

A hovering-type autonomous underwater vehicle (AUV) capable of cruising at low altitudes and observing the seafloor using only mounted sensors and payloads was developed for sea-creature survey. The AUV has a local area network (LAN) interface for an additional payload that can acquire navigation data from the AUV and transmit the target value to the AUV. In the handling process of the state flow of an AUV, additional payloads can control the AUV position using the transmitted target value without checking the AUV condition. In the handling process of the state flow of an AUV, additional payloads can control the AUV position using the transmitted target value without checking the AUV condition. In this research, water tank tests and sea trials were performed using an AUV equipped with a visual tracking system developed in other laboratories. The experimental results proved that additional payload can control the AUV position with a standard deviation of 0.1 m.

DOI： 10.20965/jrm.2018.p0238

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130007499268

Image Mosaicing Using Multi-Modal Images for Generation of Tomato Growth State Map 査読有り

Fujinaga Takuya, Yasukawa Shinsuke, Li Binghe, Ishii Kazuo

Journal of Robotics and Mechatronics 30 ( 2 ) 187 - 197 2018年01月

記述言語：英語掲載種別：研究論文（学術雑誌）

Due to the aging and decreasing the number of workers in agriculture, the introduction of automation and precision is needed. Focusing on tomatoes, which is one of the major types of vegetables, we are engaged in the research and development of a robot that can harvest the tomatoes and manage the growth state of tomatoes. For the robot to automatically harvest tomatoes, it must be able to automatically detect harvestable tomatoes positions, and plan the harvesting motions. Furthermore, it is necessary to grasp the positions and maturity of tomatoes in the greenhouse, and to estimate their yield and harvesting period so that the robot and workers can manage the tomatoes. The purpose of this study is to generate a tomato growth state map of a cultivation lane, which consists of a row of tomatoes, aimed at achieving the automatic harvesting and the management of tomatoes in a tomato greenhouse equipped with production facilities. Information such as the positions and maturity of the tomatoes is attached to the map. As the first stage, this paper proposes a method of generating a greenhouse map (a wide-area mosaic image of a tomato cultivation lane). Using the infrared image eases a correspondence point problem of feature points when the mosaic image is generated. Distance information is used to eliminate the cultivation lane behind the targeted one as well as the background scenery, allowing the robot to focus on only those tomatoes in the targeted cultivation lane. To verify the validity of the proposed method, 70 images captured in a greenhouse were used to generate a single mosaic image from which tomatoes were detected by visual inspection.

DOI： 10.20965/jrm.2018.p0187

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130007499459

Enhancement of Deep-Sea Floor Images Obtained by an Underwater Vehicle and its Evaluation by Crab Recognition 査読有り

Ahn Jonghyun, Shinsuke Yasukawa, Takashi Sonoda, Yuya Nishida, Tamaki Ura, Kazuo Ishii

Journal of Marine Science and Technology 2017年12月

Generation of Mosaic Image in Tomato Greenhouse Using Infrared Image 査読有り

Takuya Fujinaga,Shinsuke Yasukawa, Binghe Li, Kazuo Ishii

Smart Info-Media Systems in Asia (SISA 2017) 2017年09月

Sea-floor image transmission system for AUV 査読有り

Jonghyun Ahn, Shinsuke Yasukawa, Tharindu Weerakoon, Takashi Sonoda, Yuya Nishida, Tamaki Ura, Kazuo Ishii

In OCEANS 2017-Aberdeen. IEEE. 2017年06月

Development of a Tomato Harvesting Robot 査読有り

Shinsuke Yasukawa, Binghe Li, Takashi Sonoda, Kazuo Ishii

International Conference of Artificial Life and Robotics 2017 2017年01月

Development of an Autonomous Underwater Vehicle with Human-aware Robot Navigation 査読有り

Yuya Nishida，Takashi Sonoda, Shinsuke Yasukawa, Jonghyun Ahn, Kazunori Nagano, Kazuo Ishii, Tamaki Ura

MTS/IEEE Oceans’16 2016年09月

Real-time Object Tracking Based on Scale-invariant Features Employing Bio-inspired Hardware Engineering and Applications 査読有り

hinsuke Yasukawa, Hirotsugu Okuno, Kazuo Ishii, Tetsuya Yagi

Neural Networks 2016年09月

Image Enhancement and Compression of Deep-Sea Floor Image for Acoustic Transmission 査読有り

Jonghyun Ahn, Shinsuke Yasukawa, Takashi Sonoda, Yuya Nishida, Kazuo Ishii, Tamaki Ura

MTS/IEEE Shanghai, OCEANS ’16 Conference 2016年04月

A vision sensor system with a real time multi scale filtering function 査読有り

Shinsuke Yasukawa, Hirotsugu Okuno, Seiji Kameda, Tetsuya Yagi

International Journal of Mechatronics and Automation 2014年01月

High-Speed Multiple Spatial Band-Pass Filtering using a Resistive Network 査読有り

Shinsuke Yasukawa, Hirotsugu Okuno, Seiji Kameda, Tetsuya Yagi

Mechatronics and Automation (ICMA), 2013 IEEE International Conference on 2013年08月

Detection of Scale-Invariant Key Points Employing a Resistive Network 査読有り

Shinsuke Yasukawa, Hirotsugu Okuno, Tetsuya Yagi

in Proc. of System Integration (SII), 2012 IEEE/SICE International Symposium on 2012年12月

An intelligent vision system with adaptive edge enhancement filter

Shinsuke Yasukawa, Hirotsugu Okuno, Tetsuya Yagi

2nd Global COE Student Conference on Innovative Electronic Topics (SCIENT 2010) 2010年07月

　前のページ-次のページ　

<安川 真輔>

論文 - 安川 真輔

<安川　真輔>

論文 - 安川　真輔