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检索条件"机构=Computer Science and Robotics"
7880 条 记 录,以下是521-530 订阅
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M3ED: Multi-Robot, Multi-Sensor, Multi-Environment Event Dataset
M3ED: Multi-Robot, Multi-Sensor, Multi-Environment Event Dat...
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2023 IEEE/CVF Conference on computer Vision and Pattern Recognition Workshops, CVPRW 2023
作者: Chaney, Kenneth Cladera, Fernando Wang, Ziyun Bisulco, Anthony Hsieh, M. Ani Korpela, Christopher Kumar, Vijay Taylor, Camillo J. Daniilidis, Kostas University of Pennsylvania GRASP Laboratory PA19104 United States Robotics Research Center Department of Electrical Engineering and Computer Science United States Military Academy West PointNY10996 United States
We present M3ED, the first multi-sensor event camera dataset focused on high-speed dynamic motions in robotics applications. M3ED provides high-quality synchronized and labeled data from multiple platforms, including ... 详细信息
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ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation
ARMBench: An Object-centric Benchmark Dataset for Robotic Ma...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Chaitanya Mitash Fan Wang Shiyang Lu Vikedo Terhuja Tyler Garaas Felipe Polido Manikantan Nambi Amazon Robotics MA USA Computer Science Department Rutgers University NJ USA
This paper introduces Amazon Robotic Manipulation Benchmark (ARMBench), a large-scale, object-centric benchmark dataset for robotic manipulation in the context of a warehouse. Automation of operations in modern wareho...
来源: 评论
Acoustic Neural 3D Reconstruction Under Pose Drift
arXiv
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arXiv 2025年
作者: Lin, Tianxiang Qadri, Mohamad Zhang, Kevin Pediredla, Adithya Metzler, Christopher A. Kaess, Michael the Robotics Institute Carnegie Mellon University PittsburghPA United States the Department of Computer Science the University of Maryland College Park United States The Computer Science Department Dartmouth College United States
We consider the problem of optimizing neural implicit surfaces for 3D reconstruction using acoustic images collected with drifting sensor poses. The accuracy of current state-of-the-art 3D acoustic modeling algorithms...
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Systematic Literature Review on Industry Revolution 4.0 to Predict Maintenance and Life Time of Machines in Manufacturing Industry  3
Systematic Literature Review on Industry Revolution 4.0 to P...
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3rd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2023
作者: Sowmya, P. Ravichandran, Sathish Kumar Rakshitha Department of Robotics and Artificial Intelligence Karnataka Nitte India Christ University School of Engineering and Technology Department of Computer Science Karnataka Bangalore India Department of Artificial Intelligence and Machine Learning Karnataka Nitte India
Industry 4.0 is digitized revolution for manufacturers or companies where in new technologies are imbibed into their production system for their day-to-day operations or activities. So that their overall economic need... 详细信息
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Distributed Monitoring and Control System of Gas Concentrations in Different Environment  24
Distributed Monitoring and Control System of Gas Concentrati...
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24th International Conference on Control Systems and computer science, CSCS 2023
作者: Furdu, Iulian Pruteanu, Eusebiu Nitu, Costica University Vasile Alecsandri of Bacau Department of Mathematics and Informatics Bacau Romania University Vasile Alecsandri of Bacau Department of Energy and Computer Science Bacau Romania Polytechnic University Department of Intelligent Robotics Bucharest Romania
Wireless Sensor Systems (WSN) is a broad, exciting area with new perspectives and growing growth over the past decades, where more research is being done. WSNs contain many (hundreds of thousands) of micro-sized, chea... 详细信息
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Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control
arXiv
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arXiv 2025年
作者: Wang, Haochen Shi, Zhiwei Zhu, Chengxi Qiao, Yafei Zhang, Cheng Yang, Fan Ren, Pengjie Lu, Lan Xuan, Dong School of Computer Science and Technology Shandong University China Robotics Institute Carnegie Mellon University United States DeepCode Robotics China Department of Sports Shanghai Jiao Tong University China
Learning-based methods, such as imitation learning (IL) and reinforcement learning (RL), can produce excel control policies over challenging agile robot tasks, such as sports robot. However, no existing work has harmo... 详细信息
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Discovering Multiple Algorithm Configurations
Discovering Multiple Algorithm Configurations
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IEEE International Conference on robotics and Automation (ICRA)
作者: Leonid Keselman Martial Hebert Robotics Institute School of Computer Science Carnegie Mellon University Pittsburgh PA USA
Many practitioners in robotics regularly depend on classic, hand-designed algorithms. Often the performance of these algorithms is tuned across a dataset of annotated examples which represent typical deployment condit...
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Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects
Grasp Anything: Combining Teacher-Augmented Policy Gradient ...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Malte Mosbach Sven Behnke Autonomous Intelligent Systems Group Computer Science Institute VI – Intelligent Systems and Robotics – and the Center for Robotics and the Lamarr Institute for Machine Learning and Artificial Intelligence University of Bonn Germany
Interactive grasping from clutter, akin to human dexterity, is one of the longest-standing problems in robot learning. Challenges stem from the intricacies of visual perception, the demand for precise motor skills, an... 详细信息
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Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graphs  27
Modeling Complex Object Changes in Satellite Image Time-Seri...
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27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023
作者: Ayadi, Zouhayra Boulila, Wadii Farah, Imed Riadh RIADI Laboratory National School of Computer Science University of Manouba Manouba Tunisia ICube Laboratory University of Strasbourg Strasbourg France Robotics and Internet-of-Things Laboratory Prince Sultan University Riyadh Saudi Arabia
This paper proposes a method for automatically monitoring and analyzing the evolution of complex geographic objects. The objects are modeled as a spatiotemporal graph, which separates filiation relations, spatial rela... 详细信息
来源: 评论
“Thanks for the Practice!”: LLM-Powered Social Robot as Tandem Language Partner at University  25
“Thanks for the Practice!”: LLM-Powered Social Robot as Ta...
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ACM/IEEE International Conference on Human-Robot Interaction (HRI)
作者: Ashita Ashok Barbara Bruno Tamara Helf Karsten Berns Department of Computer Science University of Kaiserslautern-Landau Kaiserslautern Germany Institute of Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany
Large language models (LLMs), when integrated into social robots, have the potential to transform robot-assisted language learning by offering personalized, interactive communication. However, there is limited researc... 详细信息
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