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检索条件"机构=Department of Control and Robot Engineering"
270 条 记 录,以下是121-130 订阅
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A New Calibration Method and Experimental Study for Kinematic Parameters of Industrial robot
A New Calibration Method and Experimental Study for Kinemati...
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Artificial Intelligence and Electromechanical Automation (AIEA), International Conference on
作者: Honghua Zhao Jian Zhao Yifei Lin Qifei Han Mianpeng Chen University of Jinan School of Mechanical Engineering Jinan China Shandong University School of Control Science and Engineering Jinan China Shandong Institute of Intelligent Robot & Applied Technology Jining China CNC System R&D Department GSK CNC Equipment Co. Ltd. Guangzhou China
The accuracy of industrial robot kinematics parameters directly affects its absolute positioning accuracy. Based on Modify Denavit-Hartenberg (MD-H) kinematics theory, a more accurate calibration method for kinematic ... 详细信息
来源: 评论
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 neede... 详细信息
来源: 评论
Fast ORB-SLAM without Keypoint Descriptors
arXiv
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arXiv 2020年
作者: Fu, Qiang Yu, Hongshan Wang, Xiaolong Yang, Zhengeng He, Yong Zhang, Hong Mian, Ajmal The National Engineering Laboratory for Robot Visual Perception and Control Technology College of Electrical and Information Engineering Hunan University China The Department of Computing Science University of Alberta Canada Quanzhou Institute of Industrial Design and Machine Intelligence Innovation Hunan University China The Southern University of Science and Technology Shenzhen China The School of Mathematics and Information Science Shaanxi Normal University China The Department of Computer Science The University of Western Australia WA6009 Australia
Indirect methods for visual SLAM are gaining popularity due to their robustness to environmental variations. ORB-SLAM2 [1] is a benchmark method in this domain, however, it consumes significant time for computing desc... 详细信息
来源: 评论
LimeSoDa: A dataset collection for benchmarking of machine learning regressors in digital soil mapping
收藏 引用
Geoderma 2025年 459卷
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 S
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 neede... 详细信息
来源: 评论
Real time backbone for semantic segmentation
arXiv
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arXiv 2019年
作者: Yang, Zhengeng Yu, Hongshan Fu, Qiang Sun, Wei Jia, Wenyan Sun, Mingui Mao, Zhi-Hong National Engineering Laboratory for Robot Visual Perception and Control Technology College of Electrical and Information Engineering Hunan University Lushan South Rd. Yuelu Dist. Changsha410082 China University of Pittsburgh University of Pittsburgh PittsburghPA United States Department of Electrical and Computer Engineering Department of Neurosurgery
The rapid development of autonomous driving in recent years presents lots of challenges for scene understanding. As an essential step towards scene understanding, semantic segmentation thus received lots of attention ... 详细信息
来源: 评论
Remote control library and GUI development for Russian crawler robot Servosila Engineer  13
Remote control library and GUI development for Russian crawl...
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13th International Conference on Electromechanics and robotics "Zavalishin's Readings", ER(ZR) 2018
作者: Mavrin, Ilya Lavrenov, Roman Svinin, Mikhail Sorokin, Sergey Magid, Evgeni Intelligent Robotics Department Higher School of Information Technology and Information Systems Kazan Federal University Russia Robot Dynamics and Control Laboratory College of Information Science and Engineering Ritsumeikan University Japan Mechanical Engineering Department Chuvash State University Russia
Recently a large variety of robots are available on the global market for a reasonable price. Often it turns out that even though a robot has a high-quality hardware and architecture, an original software of the robot... 详细信息
来源: 评论
System Design and Experiment of a Laryngeal Surgical robotic System  15
System Design and Experiment of a Laryngeal Surgical Robotic...
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15th International Conference on Ubiquitous robots, UR 2018
作者: Kim, Sang-Hwa Seo, Jong-Tae Woo, Jae Hong Yoon, Hyun-Soo Tae, Kyung Yi, Byung-Ju Division of Electrical Engineering Hanyang University Ansan Korea Republic of Department of Intelligent Robot Engineering Hanyang University Ansan Korea Republic of Department of Electronic Electrical Control and Instrumentation Engineering Hanyang University Ansan Korea Republic of Department of Otolaryngology-Head Hanyang University Neck Surgery College of Medicine Seoul Korea Republic of
A laryngeal surgical robotic system equipped with high quality 3-dimensional images and robot arms is developed to help the surgeon treat general diseases located at head and neck area. This paper is to describe a sys... 详细信息
来源: 评论
Fast 3D detection of vehicles using density image of lidar
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Journal of Institute of control, robotics and Systems 2018年 第12期24卷 1161-1169页
作者: Kim, Tae-Hyeong Park, Tae-Hyeong Department of Control and Robot Engineering Chungbuk National University Korea Republic of School of Electronics Engineering Chungbuk National University Korea Republic of
The deep-learning-based method is a costly method that requires the addition of a lot of learning data and hardware. This paper proposes a 3D vehicle detection method using only 3D lidar in autonomous vehicles. The pr... 详细信息
来源: 评论
A VR-based upper limb rehabilitation hand robotic training system  15
A VR-based upper limb rehabilitation hand robotic training s...
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15th IEEE International Conference on Mechatronics and Automation, ICMA 2018
作者: Guo, Jian Li, Nan Guo, Shuxiang Tianjin Key Laboratory for Control Theory and Application in Complicated Systems and Biomedical Robot Laboratory Tianjin University of Technology Binshui Xidao 391 Tianjin China Intelligent Mechanical Systems Engineering Department Faculty of Engineering Kagawa University Takamatsu Kagawa Japan
With the development of science and technology, virtual reality technology has been applied to various fields. Virtual reality technology is proposed into rehabilitation medical treatment, which can avoid dull rehabil... 详细信息
来源: 评论
Design of the speech control system for a upper limb rehabilitation robot based on wavelet de-noising  15
Design of the speech control system for a upper limb rehabil...
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15th IEEE International Conference on Mechatronics and Automation, ICMA 2018
作者: Guo, Shuxiang Wang, Zhi Guo, Jian Fu, Qiang Li, Nan Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems and Biomedical Robot Laboratory Tianjin University of Technology Binshui Xidao Extension 391 Tianjin300384 China Intelligent Mechanical Systems Engineering Department Faculty of Engineering Kagawa University Takamatsu Kagawa Japan
In order to help stroke patients to go on rehabilitation training, a new type of exoskeleton upper limb rehabilitation robot based on biomechanics has been designed in this paper, and speech control has been implement... 详细信息
来源: 评论