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IEEE International Conference on Systems, Man, and Cybernetics

作者： Ho Seok Ahn Dong-Wook Lee Dongwoon Choi Duk-Yeon Lee Manhong Hur Hogil Lee Intelligent Robotics and Communication Laboratories Advanced Telecommunications Research Institute International Department of Applied Robot Technology Korea Institute of Industrial Technology

ISBN: (纸本)9781467317139

This paper analyzes emotional expressions of an android head system according to gender and age. We use an EveR-4 H33 controlled by thirty-three motors for facial expression. EveR-4 H33 is a head system for an android face consists of three layers: a mechanical layer, an inner cover layer and an outer cover layer. Facial expressions of robots are different from the purposes of robots. In addition, feeling of emotional expressions is also different from humans depending on age, gender, etc. Therefore, we find the appropriate uses of EveR-4 H33 in this paper. EveR-4 H33 shows her facial expressions about some emotions. Then, audiences of exhibition evaluate her facial expressions by enjoying a game of emotional correction. We analyze the results of the game according to gender and age, and decide appropriate uses of EveR-4 H33.

关键词： Android Facial expression Emotional expression EveR Human-robot Interaction Facial Expression Gender Methyltestosterone Androids robot Emotions Aged Game theory Game animals Head

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Instance segmentation based recognition system tracking tomatoes by ripeness in natural light conditions

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Journal of Institute of Control, robotics and Systems 2020年第11期26卷 940-948页

作者： Lee, Woo-Young Ko, Kwang Eun Kang, Jaehyeon Park, Hyun Ji Jang, Inhoon Applied Robot R&D Department Korea Institute of Industrial Technology Korea Republic of Department of computer Science & Engineering Hanyang University Korea Republic of

This paper describes a tomato recognition system to be applied to a harvesting robot used in farms under natural light conditions. The tomato recognition system is composed of a stereo camera, light, deep learning based instance segmentation model and Kalman filter based object tracking algorithm. In order to train the instance segmentation model, a large-scale dataset of the actual smartfarm background is made, and performance verification is performed on the test dataset. The average precision of the deep learning based instance segmentation model achieved 96.8% of performance when the threshold of the prediction score for classifying ripeness is over 0.75 (Table. 3), and the multiple object tracking accuracy of the Kalman filter based tracking method is approximately 74.3%. © ICROS 2020.

关键词： Kalman filters

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Development of Flexible Laboratory Automation Platform using Mobile Agents in the Clinical Laboratory

Development of Flexible Laboratory Automation Platform using...

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IEEE International Conference on Automation Science and Engineering

作者： Choi, Byung June Jin, Sung Moon Shin, Seung Hoon Koo, Ja Choon Ryew, Sung Moo Kim, Min Cheol Kim, JinHyun Son, Woong Hee Ahn, Ki Tak Chung, Wankyun Choi, Hyouk Ryeol School of Mechanical Engineering Sungkyunkwan University Suwon South Korea KnR System Inc. Youngin South Korea Robotous Co. Seongnam South Korea Department or Mechanical Engineering Seoul National University of Technology Seoul South Korea Division of Applied Robot Technology Korea Institute of Industrial Technology Cheonan South Korea Pohang Institute of Intelligent Robotics Pohang South Korea Department of Mechanical Engineering Pohang University of Science and Technology Pohang South Korea

ISBN: (纸本)9781424420223

Recently, robotic automation in clinical laboratory becomes of keen interest as a fusion of bio and robotic technology. In this paper, we present a new robotic platform for clinical tests suitable for small or medium sized laboratories using mobile robots. The mobile robot called Mobile Agent is designed as transfer system of blood samples, reagents, microplates, and other instruments. Also, the mobile agent can perform diverse tests simultaneously based on its cooperative and distributed ability. The driving circuits for the mobile agent are embedded in the robot, and each mobile agent communicates with other agents by using Bluctooth communication. The RFID system is used to recognize patient information. The Biorobot platform based on mobile agents can control throughput according to the amount of tests. Also, the operation and maintenance of the system can be improved because its components are easily replaceable. To evaluate feasibility for Biorobot platform, the system was manufactured and validated by preliminary experiments.

关键词： Mobile agents

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Commercialization and Popularization of robotic Intelligent Components

Commercialization and Popularization of Robotic Intelligent ...

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International Conference on Control, Automation and Systems

作者： Young-Ho Choi Jung-Woo Lee Sung-Jo Yun Sung-Ho Hong Jin-Ho Suh Suk-Joong Kim Jin-Ho Park Applied Technology Division Pohang Institute of Intelligent Robotics Department of Intelligent Robot Development ED Co. Ltd

ISBN: (纸本)9781467322478

This paper describes the 4th year research results of our project, [The development of robotic Intelligent S/W Component and its performance test]. In our previous paper, we suggested a unified system integration method to build an intelligent robotic system using robotic intelligent components and introduced the concept of a robotic intelligent component which consists of an embedded hardware module adopting EtherCAT bus and a software module based on Open Software Platform for robotic Services (OPRoS) in the first paper and then we described the easy system integration procedure to develop a mobile manipulator using RIC in the second paper. In this paper, we address the 4th year research results for the commercialization and popularization of RIC through development of EtherCAT Core Modules, construction of the web server for the integrated management of RIC and customization of the OPRoS component editing tool. We expect that RIC is applicable to industrial filed more easily through this commercialization process.

关键词： robotic intelligent component EtherCAT OPRoS Commercialization Popularization

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High gain observer based nonlinear position control for electro-hydraulic servo systems

High gain observer based nonlinear position control for elec...

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作者： Kim, Wonhee Won, Daehee Chung, Chung Choo Department of Electrical Engineering Hanyang University Seoul 133-791 Korea Republic of Division for Applied Robot Technology Korea Institute of Industrial Technology Ansan 426-171 Korea Republic of Division of Electrical and Biomedical Engineering Hanyang University Seoul 133-791 Korea Republic of

ISBN: (纸本)9781424474264

We present a high gain observer-based nonlinear position control for electro-hydraulic servo systems. We design passivity based control for improve tracking performance. The passivity based control needs the full states information. Since the electro-hydraulic servo system has nonlinearities, we designed a modified high gain observer to estimate its states without the transformation for normal form. To reduce the effect of nonlinear terms, we use a high gain technique. We analyze the stability of the closed-loop system using the singular perturbation method. Simulations show that the proposed controller has better position tracking performance than a standard PI controller. © 2010 AACC.

关键词： Closed loop systems

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Three-layered hybrid architecture for emotional reactive system

Three-layered hybrid architecture for emotional reactive sys...

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International Conference on Control, Automation and Systems ( ICCAS)

作者： Jun-Young Jung Dong-Wook Lee Hyun-Sub Park Ho-Gil Lee Department of Intelligent Robotics Korea University of Science and Technology Daejeon South Korea Division of Applied Robot Technology Korea Institute of Industrial and Technology Ansan South Korea

In this paper, we present the design of an emotional reactive system based on three-layered hybrid architecture. The purpose of emotional reactive system is to make robot software system that has its autonomous emotion in interaction with human. The three-layered hybrid architecture is composed of Hardware abstraction layer, Reactive Layer and Deliberative Layer and developed for autonomous mobile robots. We applied this architecture to make android EveR-2psilas emotional reactive system. With this architecture, EveR-1 could make robot emotion generated by external stimulus and play its emotional behavior in robot task execution.

关键词： Service robots Intelligent robots Computer architecture Human robot interaction Software systems robotics and automation Hybrid intelligent systems Electronic mail Automatic control Control systems

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LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping

arXiv

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arXiv 2025年

作者： Schmidinger, Jonas Vogel, Sebastian Barkov, Viacheslav Pham, Anh-Duy Gebbers, Robin Tavakoli, Hamed Correa, Jose Tavares, Tiago R. Filippi, Patrick Jones, Edward J. Lukas, Vojtech Boenecke, Eric Ruehlmann, Joerg Schroeter, Ingmar Kramer, Eckart Paetzold, Stefan Kodaira, Masakazu Wadoux, Alexandre M.J.-C. Bragazza, Luca Metzger, Konrad Huang, Jingyi Valente, Domingos S.M. Safanelli, Jose L. Bottega, Eduardo L. Dalmolin, Ricardo S.D. Farkas, Csilla Steiger, Alexander Horst, Taciara Z. Ramirez-Lopez, Leonardo Scholten, Thomas Stumpf, Felix Rosso, Pablo Costa, Marcelo M. Zandonadi, Rodrigo S. Wetterlind, Johanna Atzmueller, Martin Osnabrück University Joint Lab Artificial Intelligence and Data Science Osnabrück Germany Department of Agromechatronics Potsdam Germany Piracicaba Brazil The University of Sydney Sydney Institute of Agriculture Sydney Australia Mendel University in Brno Department of Agrosystems and Bioclimatology Brno Czech Republic Leibniz Institute of Vegetable and Ornamental Crops Next Generation Horticultural Systems Grossbeeren Germany Eberswalde University for Sustainable Development Landscape Management and Nature Conservation Eberswalde Germany Soil Science and Soil Ecology Bonn Germany Tokyo University of Agriculture and Technology Institute of Agriculture Tokyo Japan LISAH Univ. Montpellier AgroParisTech INRAE IRD L'Institut Agro Montpellier France Agroscope Field-Crop Systems and Plant Nutrition Nyon Switzerland University of Wisconsin-Madison Department of Soil Science Madison United States Federal University of Viçosa Department of Agricultural Engineering Viçosa Brazil Woodwell Climate Research Center Falmouth United States Academic Coordination Santa Maria Brazil Soil Department Santa Maria Brazil Division of Environment and Natural Resources Aas Norway University of Rostock Chair of Geodesy and Geoinformatics Rostock Germany Federal Technological University of Paraná Dois Vizinhos Brazil BÜCHI Labortechnik AG Data Science Department Flawil Switzerland Imperial College London Imperial College Business School London United Kingdom University of Tübingen Department of Geosciences Tübingen Germany University of Tübingen DFG Cluster of Excellence Machine Learning for Science’ Germany Bern University of Applied Sciences Competence Center for Soils Zollikofen Switzerland Simulation and Data Science Müncheberg Germany Federal University of Jataí Institute of Agricultural Sciences Jatai Brazil Federal University of Mato Grosso Instute of Agricultural and Environmental Scinces Sinop Brazil Department of Soil and Environment Skara

Digital soil mapping (DSM) relies on a broad pool of statistical methods, yet determining the optimal method for a given context remains challenging and contentious. Benchmarking studies on multiple datasets are needed to reveal strengths and limitations of commonly used methods. Existing DSM studies usually rely on a single dataset with restricted access, leading to incomplete and potentially misleading conclusions. To address these issues, we introduce an open-access dataset collection called Precision Liming Soil Datasets (LimeSoDa). LimeSoDa consists of 31 field- and farm-scale datasets from various countries. Each dataset has three target soil properties: (1) soil organic matter or soil organic carbon, (2) clay content and (3) pH, alongside a set of features. Features are dataset-specific and were obtained by optical spectroscopy, proximal- and remote soil sensing. All datasets were aligned to a tabular format and are ready-to-use for modeling. We demonstrated the use of LimeSoDa for benchmarking by comparing the predictive performance of four learning algorithms across all datasets. This comparison included multiple linear regression (MLR), support vector regression (SVR), categorical boosting (CatBoost) and random forest (RF). The results showed that although no single algorithm was universally superior, certain algorithms performed better in specific contexts. MLR and SVR performed better on high-dimensional spectral datasets, likely due to better compatibility with principal components. In contrast, CatBoost and RF exhibited considerably better performances when applied to datasets with a moderate number ( © 2025, CC BY-SA.

关键词： Adversarial machine learning

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Observer Based Nonlinear Tension Control for Multi Motor Wire Winding System

Observer Based Nonlinear Tension Control for Multi Motor Wir...

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International Conference on Control, Automation and Systems

作者： Donghoon Shin Wonhee Kim Youngwoo Lee Daehee Won Chung Choo Chung Department of Electrical Engineering Hanyang University Division for Applied Robot Technology Korea Institute of Industrial Technology Division of Electrical and Biomedical Engineering Hanyang University

ISBN: (纸本)9781467322478

In this paper, we present a tension control method for multi motor wire winding systems (MWSs). The objectives of MWS are tracking both the tension and velocity of wire. A velocity controller for rewinding motor is designed. A tension controller, whose inner loop is the velocity controller for unwinding motor, is developed. To filter out the measurement noises of velocities and estimate the load torque of motors, an augmented observer is proposed. The proposed method ensures good performance in the presence of the measurement noises of velocities noise and load torque. Simulation results validate the effectiveness of proposed method.

关键词： Multi motor wire winding systems Tension control

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Development of a human-like narrator robot system in EXPO

Development of a human-like narrator robot system in EXPO

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IEEE Conference on robotics, Automation and Mechatronics

作者： Ho Seok Ahn Dong-Wook Lee Bruce MacDonald Robotics Research Group The University of Auckland Auckland New Zealand Department of Applied Robot Technology Korea Institute of Industrial Technology Ansan Republic of Korea

This paper introduces a human-like narrator robot system called EveR-4E. EveR-4E is an android robot platform having human-like appearance, and explains exhibitions with facial expression and gestures. She has movable upper body and mannequin legs for standing on the floor. The skin of the head, arms, and hands is made of silicon jelly to give human-like texture. EveR-4E has fifty-nine degrees of freedom in the head, neck, arms, hands, and torso. Her gestures are designed based on captured body motions of human to give human-like movement. She can be controlled by remote systems controlled by human guide. She introduces robots in the robot exhibit hall of the EXPO 2012 Yeosu Korea.

关键词： Androids Humanoid robots Service robots Face Conferences Floors

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Design of a modified binary region median filtering for micro electronic device assembly manipulations

Design of a modified binary region median filtering for micr...

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International Conference on Control, Automation and Systems ( ICCAS)

作者： Y. S. Ihn H. S. Ha B. J. Choi H. R. Choi S. M. Lee J. C. Koo Department of Mechanical Engineering Sung Kyun Kwan University Suwon Korea Division of Applied Robot Technology Korea Institute of Industrial Technology Ansan Korea

As the physical sizes of many electrical devices became a miniaturization and a complexity, precise micromanipulation system become one of the major issues in the industry. Machine vision system is used to arrange the electrical components and to analysis the error components. Accordingly it is required the rapid processing time and the precise information. Filter is used to enhance the efficiency and the precision in machine vision system. In this paper, effective filter is designed to apply real-time image processing using the region median filter and thresholding processing.

关键词： Filtering Assembly Filters Machine vision Gaussian noise Intelligent robots Image processing Probes Hybrid intelligent systems Intelligent manufacturing systems

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