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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311-320 订阅
排序:
GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control  39
GPU-Accelerated Policy Optimization via Batch Automatic Diff...
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IEEE international conference on robotics and automation (ICRA)
作者: Taheri, Abdolreza Pajarinen, Joni Ghabcheloo, Reza Tampere Univ Fac Engn & Nat Sci Tampere Finland Aalto Univ Dept Elect Engn & Automat Espoo Finland Tech Univ Darmstadt Intelligent Autonomous Syst Darmstadt Germany HIAB Control Syst R&D Hudiksvall Sweden
The ability of Gaussian processes (GPs) to predict the behavior of dynamical systems as a more sample-efficient alternative to parametric models seems promising for real-world robotics research. However, the computati... 详细信息
来源: 评论
A LSTM-Based Trajectory Prediction Method For Aerial Target  4
A LSTM-Based Trajectory Prediction Method For Aerial Target
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4th international conference on Artificial Intelligence, robotics, and Communication, ICAIRC 2024
作者: Peng, Shuang Sun, Songtao Zhao, Gaopeng Yan, Quanmin Nanjing University of Science and Technology School of Automation Nanjing China Aerospace System Engineering Shanghai Shanghai China
The dynamic and accurate prediction of the target trajectory about UAVs is the key point of airspace management. For the task of air target trajectory prediction dominated by a variety of UAVs, traditional methods can... 详细信息
来源: 评论
Preliminary Study on the Rolling Locomotion of Variable Topology Truss Robot Using Dynamic Characteristics  2
Preliminary Study on the Rolling Locomotion of Variable Topo...
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2nd international conference on Mechatronics, Control and robotics, ICMCR 2024
作者: Kim, Hanbom Bae, Jangho Yim, Mark Seo, TaeWon Hanyang University Department of Mechanical Engineering Seoul04763 Korea Republic of University of Pennsylvania Department of Mechanical Engineering and Applied Mechanics PhiladelphiaPA19146 United States
This paper presents a preliminary study on the development of dynamic rolling locomotion for Variable Topology Truss (VTT) robots. Rolling locomotion allows the robot to move in any direction, which is advantageous fo... 详细信息
来源: 评论
Data-Driven Control for a Milli-Scale Spiral-Type Magnetic Swimmer using MPC  39
Data-Driven Control for a Milli-Scale Spiral-Type Magnetic S...
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IEEE international conference on robotics and automation (ICRA)
作者: Zhao, Haoran Lu, Yitong Becker, Aaron T. Leclerc, Julien Univ Houston Dept Elect & Comp Engn Houston TX 77204 USA
This paper presents four data-driven system models for a magnetically controlled swimmer. The models were derived directly from experimental data, and the accuracy of the models was experimentally demonstrated. Our pr... 详细信息
来源: 评论
Exploration of Unknown Environment using Deep Reinforcement Learning
Exploration of Unknown Environment using Deep Reinforcement ...
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2023 international conference on robotics and automation in Industry, ICRAI 2023
作者: Ali, Asad Gul, Sarah Mahmood, Tallat Ullah, Anayat Control Automotive and Robotics Lab Rawalpindi Pakistan Balochistan University of IT Engineering and Management Sciences Department of Electrical Engineering Quetta Pakistan
Exploring the unknown environment is a very crucial task where human life is at risks like search and rescue operations, abandoned nuclear plants, covert operations and more. Autonomous robots could serve this task ef... 详细信息
来源: 评论
Investigating Low Data, Confidence Aware Image Prediction on Smooth Repetitive Videos using Gaussian Processes  20
Investigating Low Data, Confidence Aware Image Prediction on...
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IEEE 20th international conference on automation Science and Engineering (CASE)
作者: Shinde, Nikhil U. Liang, Xiao Richter, Florian Herbert, Sylvia Yip, Michael C. Univ Calif San Diego La Jolla CA 92093 USA
The ability to predict future states is crucial to informed decision-making while interacting with dynamic environments. With cameras providing a prevalent and information-rich sensing modality, the problem of predict... 详细信息
来源: 评论
Machine Learning-Driven Demand Prediction for Off-Grid PV-Integrated EV Charging Stations  3
Machine Learning-Driven Demand Prediction for Off-Grid PV-In...
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3rd IEEE international conference on robotics, automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2024
作者: Shib, Sowrov Komar Roy Dipto, Durjoy Rahman, Md Tanvir Rahman, Md Mostafizur Islam, Riadul Shufian, Abu American International University-Bangladesh Dept. of Electrical & Electronic Engg. Dhaka Bangladesh Lamar University Dept. of Management Information System TX United States Lamar University Dept. of Electrical & Electronic Engg. TX United States
The rapid growth of electric vehicles (EVs) has led to an increasing demand for charging infrastructure, particularly in off-grid locations. Developing off-grid EV charging stations powered by photovoltaic (PV) system... 详细信息
来源: 评论
INTELLIGENT ENHANCEMENT SOLUTIONS FOR INDUSTRIAL ROBOTS USING AI TECHNOLOGY  2
INTELLIGENT ENHANCEMENT SOLUTIONS FOR INDUSTRIAL ROBOTS USIN...
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2nd international conference on Mechatronic automation and Electrical Engineering, ICMAEE 2024
作者: Wu, Di School of International Education Hebei University of Technology Tianjin300130 China
The integration of artificial intelligence (AI) into industrial robotics has revolutionized manufacturing by improving various aspects such as precision, speed, and energy efficiency. This paper delves into AI-driven ... 详细信息
来源: 评论
A Data-Driven Multiple Model Framework for Intention Estimation  39
A Data-Driven Multiple Model Framework for Intention Estimat...
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IEEE international conference on robotics and automation (ICRA)
作者: Qin, Yongming Kumon, Makoto Furukawa, Tomonari Univ Virginia VICTOR Lab Charlottesville VA 22903 USA Kumamoto Univ Fac Adv Sci & Technol 2-39-1KurokamiChuo Ku Kumamoto 8608555 Japan Kumamoto Univ Int Res Org Adv Sci & Technol 2-39-1KurokamiChuo Ku Kumamoto 8608555 Japan
This paper presents a data-driven multiple model framework for estimating the intention of a target from observations. Multiple model (MM) state estimation methods have been extensively used for intention estimation b... 详细信息
来源: 评论
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction  39
Causal-based Time Series Domain Generalization for Vehicle I...
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IEEE international conference on robotics and automation (ICRA)
作者: Hu, Yeping Jia, Xiaogang Tomizuka, Masayoshi Zhan, Wei Univ Calif Berkeley Dept Mech Engn Berkeley CA 94720 USA Univ Bristol Dept Comp Sci Bristol Avon England
Accurately predicting the possible behaviors of traffic participants is an essential capability for autonomous vehicles. Since autonomous vehicles need to navigate in dynamically changing environments, they are expect... 详细信息
来源: 评论