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检索条件"机构=Computer Science and Robotics Department"
5192 条 记 录,以下是31-40 订阅
排序:
Curriculum-based Sample Efficient Reinforcement Learning for Robust Stabilization of a Quadrotor
arXiv
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arXiv 2025年
作者: Suarez, Fausto Mauricio Lagos Saradagi, Akshit Sumathy, Vidya Kotpalliwar, Shruti Nikolakopoulos, George Robotics and AI group in the Department of Computer Science Electrical and Space Engineering Luleå University of Technology Sweden
This article introduces a curriculum learning approach to develop a reinforcement learning-based robust stabilizing controller for a Quadrotor that meets predefined performance criteria. The learning objective is to a... 详细信息
来源: 评论
Bridging the Communication Gap: Artificial Agents Learning Sign Language Through Imitation  16th
Bridging the Communication Gap: Artificial Agents Learning ...
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16th International Conference on Social robotics, ICSR + AI 2024
作者: Tavella, Federico Galata, Aphrodite Cangelosi, Angelo Manchester Centre for Robotics and AI University of Manchester ManchesterM13 9PL United Kingdom Department of Computer Science University of Manchester ManchesterM13 9PL United Kingdom
This paper explores acquiring non-verbal communication skills through learning from demonstrations, with potential applications in sign language comprehension and expression. In particular, we focus on imitation learn... 详细信息
来源: 评论
Gravity Compensation of the dVRK-Si Patient Side Manipulator based on Dynamic Model Identification
arXiv
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arXiv 2025年
作者: Zhou, Haoying Yang, Hao Deguet, Anton Fichera, Loris Wu, Jie Ying Kazanzides, Peter Department of Robotics Engineering Worcester Polytechnic Institute MA United States Laboratory for Computational Sensing and Robotics JHU MD United States Department of Computer Science Vanderbilt University TN United States Department of Computer Science Johns Hopkins University MD United States
The da Vinci Research Kit (dVRK, also known as dVRK Classic) is anopen-source teleoperated surgical robotic system whose hardware is obtainedfrom the first generation da Vinci Surgical System (Intuitive, Sunnyvale, CA... 详细信息
来源: 评论
EFFICIENT IMITATION UNDER MISSPECIFICATION
arXiv
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arXiv 2025年
作者: Espinosa-Dice, Nicolas Choudhury, Sanjiban Sun, Wen Swamy, Gokul Department of Computer Science Cornell University United States Robotics Institute Carnegie Mellon University United States
We consider the problem of imitation learning under misspecification: settings where the learner is fundamentally unable to replicate expert behavior everywhere. This is often true in practice due to differences in ob... 详细信息
来源: 评论
ENHANCING SMART ENVIRONMENTS WITH CONTEXT-AWARE CHATBOTS USING LARGE LANGUAGE MODELS
arXiv
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arXiv 2025年
作者: Polo-Rodríguez, Aurora Fiorini, Laura Rovini, Erika Cavallo, Filippo Medina-Quero, Javier Department of Computer Science Automatics and Robotics University of Granada Granada Spain Department of Industrial Engineering University of Florence Florence Italy
This work presents a novel architecture for context-aware interactions within smart environments, leveraging Large Language Models (LLMs) to enhance user experiences. Our system integrates user location data obtained ... 详细信息
来源: 评论
Clustering-Based Artificial Rabbit Optimization: Approach for Enhanced Data Clustering
Clustering-Based Artificial Rabbit Optimization: Approach fo...
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Computational Intelligence Approaches and Applications (ICCIAA), International Conference on
作者: Balqees Ayal-Awwad Jamil Al-Sawwa Mohammad Almseidin Maen Alzubi Computer Science Department Tafila Technical University Tafila Jordan Department of Robotics and Artificial Intelligence Jadara University Irbid Jordan
Data clustering is a data mining task used to group data points based on their similarity. The goal of clustering is to divide $N$ data points into $K$ clusters while minimizing the intra-cluster distance and maximizi... 详细信息
来源: 评论
Towards Collaborative Simultaneous Localization and Mapping: A Survey of the Current Research Landscape
Field Robotics
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Field robotics 2025年 2卷 971-1000页
作者: Pierre-Yves Lajoie Benjamin Ramtoula Fang Wu Giovanni Beltrame Department of Computer and Software Engineering Polytechnique Montréal Canada Oxford Robotics Institute Department of Engineering Science University of Oxford United Kingdom Desay SV Automotive Singapore
Motivated by the tremendous progress, we witnessed in recent years, this paper presents a survey of the scientific literature on the topic of Collaborative Simultaneous Localization and Mapping (C-SLAM), also known as... 详细信息
来源: 评论
BIRD: Battlefield-Integrated Reconnaissance Drone with VQA
BIRD: Battlefield-Integrated Reconnaissance Drone with VQA
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AIAA science and Technology Forum and Exposition, AIAA SciTech Forum 2025
作者: Rayon, Nathan Menser, Kobi Catalano, Louis Vega, Jonathan Najarro, Julio Sevil, Hakki Erhan Department of Computer Science University of West Florida FL32514 United States Department of Mechanical Engineering University of West Florida FL32514 United States Catalano Aerospace LLC FL32502 United States Department of Intelligent Systems & Robotics University of West Florida FL32514 United States
This paper introduces a new unmanned aerial system (UAS) design featuring coaxial rotors and tethered operation with a base station. The coaxial rotor configuration enhances stability and maneuverability, particularly... 详细信息
来源: 评论
Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach
arXiv
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arXiv 2025年
作者: Alsakabi, Mohammed Erickson, Aidan Dolan, John M. Tonguz, Ozan K. Department of Electrical and Computer Engineering College of Engineering The Robotics Institute School of Computer Science Carnegie Mellon University PittsburghPA United States
We present a cost-effective new approach for generating denser depth maps for Autonomous Driving (AD) and Autonomous Vehicles (AVs) by integrating the images obtained from deep neural network (DNN) 4D radar detectors ... 详细信息
来源: 评论
NOISE-CONDITIONED ENERGY-BASED ANNEALED REWARDS (NEAR): A GENERATIVE FRAMEWORK FOR IMITATION LEARNING FROM OBSERVATION
arXiv
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arXiv 2025年
作者: Diwan, Anish Abhijit Urain, Julen Kober, Jens Peters, Jan Department of Cognitive Robotics TU Delft Netherlands Department of Computer Science TU Darmstadt Germany Germany Center for Cognitive Science TU Darmstadt Germany Germany
This paper introduces a new imitation learning framework based on energy-based generative models capable of learning complex, physics-dependent, robot motion policies through state-only expert motion trajectories. Our... 详细信息
来源: 评论