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检索条件"任意字段=International Conference on Methods and Models in Automation and Robotics"
24622 条 记 录,以下是4731-4740 订阅
排序:
A Collaborative Robot Torque Prediction Method Based on CNN-TCN Model
A Collaborative Robot Torque Prediction Method Based on CNN-...
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IEEE international conference on Real-time Computing and robotics (RCAR)
作者: Lina Tong Decheng Cui Chen Wang Liang Peng School of Mechanical Electronic and Information Engineering China University of Mining and Technology Beijing Beijing China State Key Laboratory of Management and Control for Complex Systems (SKLMCCS) Institute of Automation Chinese Academy of Science Beijing China
The traditional dynamical models show lower accuracy when predicting joint movement, and should be compensated. This paper proposed a model combined with the convolutional network(CNN) and temporal convolutional netwo...
来源: 评论
Spectral-domain Spatial-temporal Convolution Graph Neural Network for Industrial Fault Diagnosis  3
Spectral-domain Spatial-temporal Convolution Graph Neural Ne...
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2023 3rd international conference on Artificial Intelligence and Industrial Technology Applications, AIITA 2023
作者: Ru, Jiapei Zeng, Wei School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan Hubei China
In modern industrial production, once a fault occurs in the production process, it will affect the whole production and bring huge economic losses. There are a large number of device sensors in modern production, and ... 详细信息
来源: 评论
A Cerebellar Model Articulation Controller Enhanced Neural Solution to Time-Varying Linear Equations With Robotic Application
A Cerebellar Model Articulation Controller Enhanced Neural S...
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Intelligent robotics and Automatic Control (IRAC), international conference on
作者: Weibing Li Yuxuan Chen Xin Ma School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong China
Time-varying linear equations (TVLEs) are common in practice. The existing TVLE solvers like the gradient-dynamics based neurodynamic networks (GDNNs) unavoidably introduce inevitable errors. In contrast, Getz-Marsden... 详细信息
来源: 评论
Uncertainty-aware Navigation in Crowded Environment
Uncertainty-aware Navigation in Crowded Environment
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international conference on Control, automation, robotics and Vision (ICARCV)
作者: Emmanuel Alao Philippe Martinet ACENTAURI team - Centre Inria d‘Universite Cĉte d’ Azur
Robots are now widely used around humans, in homes and public places like the museums, all due to their many benefits. These autonomous robots are called social or service robots and they always find it difficult to n... 详细信息
来源: 评论
Delving into Feature Space: Improving Adversarial Robustness by Feature Spectral Regularization  27th
Delving into Feature Space: Improving Adversarial Robustness...
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27th international conference on Pattern Recognition, ICPR 2024
作者: Cheng, Zhen Zhu, Fei Zhang, Xu-Yao Liu, Cheng-Lin State Key Laboratory of Multimodal Artificial Intelligence Systems CASIA Beijing China School of Artificial Intelligence UCAS Beijing China Centre for Artificial Intelligence and Robotics HKISI-CAS Hong Kong
The study of adversarial examples in deep neural networks has attracted great attention. Numerous methods improve adversarial robustness via shrinking the gap of features between natural examples and adversarial examp... 详细信息
来源: 评论
Target-targeted Domain Adaptation for Unsupervised Semantic Segmentation
Target-targeted Domain Adaptation for Unsupervised Semantic ...
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IEEE international conference on robotics and automation (ICRA)
作者: Zhang, Xiaohong Zhang, Haofeng Lu, Jianfeng Shao, Ling Yang, Jingyu Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing 210094 Peoples R China Incept Inst Artificial Intelligence IIAI Abu Dhabi U Arab Emirates
Semantic segmentation has attracted increasing attention due to its important role in self-driving, and it is often realized by supervised learning with large number of well labeled maps. However, the labeled images a... 详细信息
来源: 评论
Effective Searching for the Honeybee Queen in a Living Colony
Effective Searching for the Honeybee Queen in a Living Colon...
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IEEE international conference on automation Science and Engineering (CASE)
作者: Jan Blaha Jan Mikula Tomáš Vintr Jiří Janota Jiří Ulrich Tomáš Rouček Fatemeh Rekabi-Bana Laurenz Alexander Fedotoff Martin Stefanec Thomas Schmickl Farshad Arvin Miroslav Kulich Tomáš Krajník Faculty of Electrical Engineering Czech Technical University in Prague Czechia Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Czechia Computer Science Department Durham University United Kingdom Department of Zoology Artificial Life Lab Institute of Biology University of Graz Graz Austria
Despite the importance of honeybees as pollinators for the entire ecosystem and their recent decline threatening agricultural production, the dynamics of the living colony are not well understood. In our EU H2020 Robo... 详细信息
来源: 评论
Application of Numerical methods for Traffic Flow Control
Application of Numerical Methods for Traffic Flow Control
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international conference on Control Systems, Mathematical Modelling, automation and Energy Efficiency (SUMMA)
作者: Svetlana Zhikhoreva Anatoly Pogodaev Department of Applied Mathematics Lipetsk State Technical University Lipetsk Russia
Traffic control is one of the most important tasks for modern cities, where traffic intensity is constantly increasing due to population growth, urbanization and an increase in the number of vehicles. The inability to... 详细信息
来源: 评论
Automatic Configuration of Multi-Agent Model Predictive Controllers based on Semantic Graph World models
Automatic Configuration of Multi-Agent Model Predictive Cont...
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IEEE international conference on robotics and automation (ICRA)
作者: K. de Vos E. Torta H. Bruyninckx C. A. López Martínez M. J. G. van de Molengraft Department of Mechanical Engineering Eindhoven University of Technology The Netherlands Department of Mechanical Engineering KU Leuven Belgium Flanders Make Leuven Belgium
We propose a shared semantic map architecture to construct and configure Model Predictive Controllers (MPC) dynamically, that solve navigation problems for multiple robotic agents sharing parts of the same environment... 详细信息
来源: 评论
Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework
Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinfo...
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international conference on Autonomous Robots and Agents, ICARA
作者: Xibo Li Shruti Patel Christof Büskens Optimization and Optimal Control Center for Industrial Mathematics University of Bremen Bremen Germany Department for Autonomous Systems TOPAS Industriemathematik Innovation gGmbH Bremen Germany
Deep reinforcement learning (DRL) allows a system to interact with its environment and take actions by training an efficient policy that maximizes self-defined rewards. In autonomous driving, it can be used as a strat... 详细信息
来源: 评论