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检索条件"主题词=big data in robotics and automation"
17 条 记 录,以下是1-10 订阅
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LVDiffusor: Distilling Functional Rearrangement Priors From Large Models Into Diffusor
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IEEE robotics AND automation LETTERS 2024年 第10期9卷 8258-8265页
作者: Zeng, Yiming Wu, Mingdong Yang, Long Zhang, Jiyao Ding, Hao Cheng, Hui Dong, Hao Sun Yat Sen Univ Sch Comp Sci & Engn Guangzhou 510275 Peoples R China Peking Univ Sch CS Hyperplane Lab Beijing 100871 Peoples R China Peking Univ Natl Key Lab Multimedia Informat Proc Beijing 100871 Peoples R China Beijing Acad Artificial Intelligence Beijing 100084 Peoples R China
Object rearrangement, a fundamental challenge in robotics, demands versatile strategies to handle diverse objects, configurations, and functional needs. To achieve this, the AI robot needs to learn functional rearrang... 详细信息
来源: 评论
Language Models as Zero-Shot Trajectory Generators
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IEEE robotics AND automation LETTERS 2024年 第7期9卷 6728-6735页
作者: Kwon, Teyun Di Palo, Norman Johns, Edward Imperial Coll London Robot Learning Lab London SW7 2AZ England
Large Language Models (LLMs) have recently shown promise as high-level planners for robots when given access to a selection of low-level skills. However, it is often assumed that LLMs do not possess sufficient knowled... 详细信息
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DALL-E-Bot: Introducing Web-Scale Diffusion Models to robotics
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IEEE robotics AND automation LETTERS 2023年 第7期8卷 3956-3963页
作者: Kapelyukh, Ivan Vosylius, Vitalis Johns, Edward Imperial Coll London Robot Learning Lab London SW7 2AZ England Imperial Coll London Dyson Robot Lab London SW7 2AZ England
We introduce the first work to explore web-scale diffusion models for robotics. DALL-E-Bot enables a robot to rearrange objects in a scene, by first inferring a text description of those objects, then generating an im... 详细信息
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A Distributed Framework for Knowledge-Driven Root-Cause Analysis on Evolving Alarm data-An Industrial Case Study
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IEEE robotics AND automation LETTERS 2023年 第6期8卷 3732-3739页
作者: Wilch, Jan Vogel-Heuser, Birgit Mager, Jens Cendelin, Rostislav Fett, Thomas Hsieh, Yu-Ming Cheng, Fan-Tien Tech Univ Munich Inst Automat & Informat Syst D-85748 Garching Germany Reifenhauser Reicofil GmbH Co KG D-53844 Troisdorf Germany Natl Cheng Kung Univ Acad Innovat Semicond & Sustainable Mfg Tainan 701401 Taiwan Natl Cheng Kung Univ Inst Mfg Informat & Syst Tainan 701401 Taiwan
Root-cause Analysis (RCA) of alarms is a well-established research area in automated Production Systems (aPS). Many RCA algorithms have been proposed and successfully evaluated and new ones are being developed. Recent... 详细信息
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Variable Rate Compression for Raw 3D Point Clouds  39
Variable Rate Compression for Raw 3D Point Clouds
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IEEE International Conference on robotics and automation (ICRA)
作者: Al Muzaddid, Md Ahmed Beksi, William J. Univ Texas Arlington Dept Comp Sci & Engn Arlington TX 76019 USA
In this paper, we propose a novel variable rate deep compression architecture that operates on raw 3D point cloud data. The majority of learning-based point cloud compression methods work on a downsampled representati... 详细信息
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LaND: Learning to Navigate From Disengagements
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IEEE robotics AND automation LETTERS 2021年 第2期6卷 1872-1879页
作者: Kahn, Gregory Abbeel, Pieter Levine, Sergey Univ Calif Berkeley Berkeley CA 94710 USA
Consistently testing autonomous mobile robots in real world scenarios is a necessary aspect of developing autonomous navigation systems. Each time the human safety monitor disengages the robot's autonomy system du... 详细信息
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BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
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IEEE robotics AND automation LETTERS 2021年 第2期6卷 1312-1319页
作者: Kahn, Gregory Abbeel, Pieter Levine, Sergey Univ Calif Berkeley Dept Elect Engn & Comp Sci Berkeley CA 94710 USA
Mobile robot navigation is typically regarded as a geometric problem, in which the robot's objective is to perceive the geometry of the environment in order to plan collision-free paths towards a desired goal. How... 详细信息
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Vision Perception-based Adaptive Pushing Assisted Grasping Network for Dense Clutters
Vision Perception-based Adaptive Pushing Assisted Grasping N...
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第43届中国控制会议
作者: Xinqi Liu Runqi Chai Shuo Wang Senchun Chai Yuanqing Xia State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of Sciences
During the execution of a robotic grasping task,the task may fail due to the close proximity of multiple objects if grasping is the only motion ***-prehensile manipulations,such as pushing,can be used to rearrange obj... 详细信息
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Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile
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IEEE robotics AND automation LETTERS 2020年 第4期5卷 5010-5017页
作者: Li, Ziyue Yan, Hao Zhang, Chen Tsung, Fugee Hong Kong Univ Sci & Technol Dept Ind Engn & Decis Analyt Hong Kong Peoples R China Arizona State Univ Sch Comp Informat & Decis Syst Engn Tempe AZ 85281 USA Tsinghua Univ Ind Engn Beijing 100084 Peoples R China
Spatiotemporal data are very common in many applications, such as manufacturing systems and transportation systems. Given the intrinsic complex spatial and temporal correlations of such data, short-term and long-term ... 详细信息
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Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems With Heterogeneous Sensor data
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IEEE robotics AND automation LETTERS 2020年 第2期5卷 3509-3516页
作者: Liu, Boyi Wang, Lujia Liu, Ming Xu, Cheng-Zhong Chinese Acad Sci Shenzhen Inst Adv Technol Cloud Comp Lab Shenzhen 518000 Peoples R China Univ Chinese Acad Sci Shenzhen 518000 Peoples R China Hong Kong Univ Sci & Technol Dept ECE Hong Kong Peoples R China Univ Macau Macau 999078 Peoples R China
Humans are capable of learning a new behavior by observing others to perform the skill. Similarly, robots can also implement this by imitation learning. Furthermore, if with external guidance, humans can master the ne... 详细信息
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