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检索条件"机构=the State Key Laboratory of Robotics and the Key Laboratory of Networked Control Systems"
1535 条 记 录,以下是1311-1320 订阅
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A Human-Robot Collaboration System for Object Handover
A Human-Robot Collaboration System for Object Handover
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IEEE International Conference on robotics and Biomimetics
作者: Yifei Yang Longzhong Lin Yifan Zhang Zhongxiang Zhou Yue Wang Rong Xiong State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems and Control of Zhejiang Province Zhejiang University Hangzhou P.R. China College of Electrical Engineering Zhejiang University Hangzhou P.R. China
Humans and robots are the two main labor in industry, and they have respective advantages. Human-Robot Collaboration combines the advantages of humans and robots, which makes it a research hotspot. While there are a l... 详细信息
来源: 评论
Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning
arXiv
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arXiv 2024年
作者: He, Fan He, Mingzhen Shi, Lei Huang, Xiaolin Suykens, Johan A.K. STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven Leuven Belgium MOE Key Laboratory of System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory for Contemporary Applied Mathematics School of Mathematical Sciences Fudan University Shanghai200433 China Shanghai Artificial Intelligence Laboratory Shanghai200232 China MOE Key Laboratory of System Control and Information Processing Institute of Image Processing and Pattern Recognition Institute of Medical Robotics Shanghai Jiao Tong University Shanghai200240 China
Ridgeless regression has garnered attention among researchers, particularly in light of the "Benign Overfitting" phenomenon, where models interpolating noisy samples demonstrate robust generalization. Howeve... 详细信息
来源: 评论
Robust Iterative Learning control of Dual-Driven Crossbeam System
Robust Iterative Learning Control of Dual-Driven Crossbeam S...
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Annual Conference of Industrial Electronics Society
作者: Yanbin Liu Kai Che Jianing Liu Jue Wang Huihui Pan Weichao Sun School of Astronautics Harbin Institute of Technology Harbin China Aeronautics Computing Technique Research Institute Aviation Industry Corporation of China Xi'an China State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China
Dual-drive crossbeam system has been an significant part of high-end equipment, whose synchronous accuracy and robustness determine the performance if equipment. Thus, a robust iterative learning control method is pro...
来源: 评论
Spherical interpolated convolutional network with distance-feature density for 3D semantic segmentation of point clouds
arXiv
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arXiv 2020年
作者: Wang, Guangming Yang, Yehui Zhang, Huixin Liu, Zhe Wang, Hesheng Department of Automation Insititue of Medical Robotics Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong University Shanghai200240 China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology China Department of Computer Science and Technology University of Cambridge United Kingdom
The semantic segmentation of point clouds is an important part of the environment perception for robots. However, it is difficult to directly adopt the traditional 3D convolution kernel to extract features from raw 3D... 详细信息
来源: 评论
Market-driven profit optimization for tabular chemical reactors with genetic algorithms
Market-driven profit optimization for tabular chemical react...
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IEEE Symposium on robotics and Applications (ISRA)
作者: Hai-Peng Qin Peng Chen Yong-Zai Lu Zhao-Li Wu Jian Chu State Key Laboratory of Industrial Control Technology & Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Department of Automation Shanghai Jiaotong University Shanghai China Department of Chemical and Biological Engineering Zhejiang University Hangzhou China
With the uncertainty in the prices of feedstock, energy and finished products, the profit optimization plays a critical role in making a chemical production enterprise more dynamic and flexible to adapt the changes in... 详细信息
来源: 评论
Deformation Pattern Shape Sensing for Visuotactile Endoscope
Deformation Pattern Shape Sensing for Visuotactile Endoscope
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2024 IEEE International Conference on Real-Time Computing and robotics, RCAR 2024
作者: Yu, Yanzhe Tian, Yuan Cui, Shaowei Wang, Yupeng Wang, Rui Wang, Shuo Beijing University of Science and Technology Beijing100083 China The University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom Institute of Automation Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Shanghai200031 China
The integration of visuotactile sensor technology with endoscopy enables the provision of tactile information for minimally invasive surgeries and other operations. This paper proposes a real-time sensing framework fo... 详细信息
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A Novel Assist-As-Needed controller Based on Fuzzy-Logic Inference and Human Impedance Identification for Upper-Limb Rehabilitation
A Novel Assist-As-Needed Controller Based on Fuzzy-Logic Inf...
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IEEE Symposium Series on Computational Intelligence (SSCI)
作者: Chen Wang Liang Peng Zeng-Guang Hou Weiqun Wang Tingting Su State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Department of Mechanical and Electrical Engineering North China University of Technology Beijing P.R. China
Upper-limb rehabilitation robots are being increasingly included in the rehabilitation after stroke. Clinical studies suggest that the patient's active participation can maximize effectiveness of robot-assisted re... 详细信息
来源: 评论
Deep Domain Adaptation Regression for Force Calibration of Optical Tactile Sensors
arXiv
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arXiv 2024年
作者: Chen, Zhuo Ou, Ni Jiang, Jiaqi Luo, Shan Robot Perception Lab Centre for Robotics Research Department of Engineering King’s College London LondonWC2R 2LS United Kingdom State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing100081 China
Optical tactile sensors provide robots with rich force information for robot grasping in unstructured environments. The fast and accurate calibration of three-dimensional contact forces holds significance for new sens... 详细信息
来源: 评论
TransForce: Transferable Force Prediction for Vision-based Tactile Sensors with Sequential Image Translation
arXiv
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arXiv 2024年
作者: Chen, Zhuo Ou, Ni Zhang, Xuyang Luo, Shan The Robot Perception Lab Centre for Robotics Research Department of Engineering King's College London LondonWC2R 2LS United Kingdom The State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing100081 China
Vision-based tactile sensors (VBTSs) provide high-resolution tactile images crucial for robot in-hand manipulation. However, force sensing in VBTSs is underutilized due to the costly and time-intensive process of acqu... 详细信息
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SAD-TIME: a Spatiotemporal-fused network for depression detection with Automated multi-scale Depth-wise and TIME-interval-related common feature extractor
arXiv
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arXiv 2024年
作者: Wang, Han-Guang Hou, Hui-Rang Jin, Li-Cheng Xu, Chen-Yang Zhang, Zhong-Yi Meng, Qing-Hao Zhang, Yong-Hui Tianjin Key Laboratory of Process Measurement and Control Institute of Robotics and Autonomous Systems School of Electrical and Information Engineering Tianjin University Tianjin300072 China Department of Psychiatry Tianjin Anding Hospital Mental Health Center Tianjin Medical University China
Background and Objective: Depression is a severe mental disorder, and accurate diagnosis is pivotal to the cure and rehabilitation of people with depression. However, the current questionnaire-based diagnostic methods... 详细信息
来源: 评论