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检索条件"任意字段=International Conference on Methods and Models in Automation and Robotics"
24815 条 记 录,以下是4761-4770 订阅
Persistent Monitoring of Large Environments with Robot Deployment Scheduling in between Remote Sensing Cycles
Persistent Monitoring of Large Environments with Robot Deplo...
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IEEE international conference on robotics and automation (ICRA)
作者: Kizito Masaba Monika Roznere Mingi Jeong Alberto Quattrini Li Department of Computer Science Dartmouth College Hanover NH USA
This paper proposes a novel decision-making framework for planning "when" and "where" to deploy robots based on prior data with the goal of persistently monitoring a spatio-temporal phenomenon in a... 详细信息
来源: 评论
HHGNN: Heterogeneous Hypergraph Neural Network for Traffic Agents Trajectory Prediction in Grouping Scenarios
HHGNN: Heterogeneous Hypergraph Neural Network for Traffic A...
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IEEE international conference on robotics and automation (ICRA)
作者: Hetian Guo Yingzhi Peng Zipei Fan He Zhu Xuan Song Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen P.R. China School of Artificial Intelligence Jilin University Changchun P.R. China
In many intelligent transportation systems, predicting the future motion of heterogeneous traffic participants is a fundamental but challenging task due to various factors encompassing the agents’ dynamic states, int... 详细信息
来源: 评论
Research on Bearing Fault Diagnosis Based on Convolutional Neural Networks
Research on Bearing Fault Diagnosis Based on Convolutional N...
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Artificial Intelligence and Electromechanical automation (AIEA), international conference on
作者: Keming Liu Liang Li Zhaoji Li School of Mechanical Engineering Liaoning Technical University Fuxin China
Traditional fault diagnosis methods often suffer from the uncertainty of characteristics under complex conditions and are overly dependent on human experience, leading to low diagnostic accuracy. This paper constructs... 详细信息
来源: 评论
GPR: Grasp Pose Refinement Network for Cluttered Scenes
GPR: Grasp Pose Refinement Network for Cluttered Scenes
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IEEE international conference on robotics and automation (ICRA)
作者: Wei, Wei Luo, Yongkang Li, Fuyu Xu, Guangyun Zhong, Jun Li, Wanyi Wang, Peng Chinese Acad Sci Inst Automat Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China Chinese Acad Sci CAS Ctr Excellence Brain Sci & Intelligence Techn Shanghai Peoples R China
Object grasping in cluttered scenes is a widely investigated field of robot manipulation. Most of the current works focus on estimating grasp pose from point clouds based on an efficient single-shot grasp detection ne... 详细信息
来源: 评论
A Multi-region Feature Extraction and Fusion Strategy Based CNN-Attention Network for Facial Expression Recognition  1
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6th EAI international conference on robotics and Networks, EAI ROSENET 2022
作者: Yang, Yanqiang Zhou, Hui School of Automation Nanjing University of Science and Technology Nanjing China
In recent years, the field of facial expression recognition (FER) has become increasingly challenging and active. To improve recognition accuracy, facial expression recognition based on a deep learning model has attra... 详细信息
来源: 评论
CrackSegMamba: A Lightweight Mamba Model for Crack Segmentation
CrackSegMamba: A Lightweight Mamba Model for Crack Segmentat...
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IEEE international conference on robotics and Biomimetics
作者: Weiqing Qi Fulong Ma Guoyang Zhao Ming Liu Jun Ma Robotics and Autonomous Systems Thrust The Hong Kong University of Science and Technology (Guangzhou) Guangzhou China
Crack localization and segmentation are essential for infrastructure maintenance and safety assessments, enabling timely repairs and preventing structural failures. Despite advancements in deep learning, crack segment... 详细信息
来源: 评论
A GNN Based Voltage Sensitivity Perception Method for Distribution Networks with Variable Topology
A GNN Based Voltage Sensitivity Perception Method for Distri...
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Electrical automation and Artificial Intelligence (ICEAAI), international conference on
作者: Keyang Li Chuanhuai Ji Shuona Li Yajie Tang College of Electrical Engineering Zhejiang University Hangzhou China State Grid Zhejiang Electric Power Co. Ltd. Research Institute Hangzhou China
Traditional data-driven voltage sensitivity analysis methods exhibit limited adaptability in response to network topology changes, which need to retrain the neural networks according to the updated topology informatio... 详细信息
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Applying Reinforcement Learning to PID Flight Control of a Quadrotor Drone to Mitigate Wind Disturbances
Applying Reinforcement Learning to PID Flight Control of a Q...
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international conference on Autonomous Robots and Agents, ICARA
作者: Ryan J. Hoover Wenyu Wu Kenji Shimada Department of Natural Sciecnes and Engineering Point Park University Pittsburgh PA USA Department of Mechanical Engineering Carnegie Mellon University Pittsburgh PA USA
Quadrotor drone control is a popular domain for control research and reinforcement learning applications. Existing control applications for quadrotor drones can be leveraged to improve the performance of reinforcement... 详细信息
来源: 评论
Dynamic Modelling of Mixed Rigid-Flexible Joint Robotic Manipulator Using Recursive Newton-Euler Formulation
Dynamic Modelling of Mixed Rigid-Flexible Joint Robotic Mani...
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international conference on Autonomous Robots and Agents, ICARA
作者: Minh Tuan Hua Mohammad Poursina Filippo Sanfilippo Department of Engineering Sciences University of Agder Grimstad Norway
Rigid joints have good position control accuracy due to their stiffness. On the other hand, elastic joints are advantageous when interacting with the environment due to their compliance characteristics. Most of the cu... 详细信息
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An Application Study on Reconfigurable Robotic Workcells and Policy Adaptation for Electronic Waste Recycling
An Application Study on Reconfigurable Robotic Workcells and...
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IEEE conference on Cybernetics and Intelligent Systems
作者: Mihael Simonič Boris Kuster Matija Mavsar Gašper Šavle Sebastian Ruiz Martin Bem Matevž Majcen Hrovat Aleš Ude Department of Automatics Biocybernetics and Robotics Jožef Stefan Institute Ljubljana Slovenia Department for Computational Neuroscience University of Göttingen Germany
The recycling of electronic waste (e-waste) presents significant challenges due to the diverse range of device models and conditions that need to be treated. This paper presents an application study that evaluates a r... 详细信息
来源: 评论