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检索条件"机构=the Learning Algorithms and Systems Laboratory"
81 条 记 录,以下是1-10 订阅
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Leader-follower:Human-centered intention-guided controller for novel SuperLimb with application to load-carrying scenarios
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Science China(Technological Sciences) 2025年 第1期68卷 321-334页
作者: Qinghua ZHANG Xianglong LI Hongwei JING Kerui SUN Yuancheng LI Sikai ZHAO Lele LI Haotian JU Ziqi WANG Rui WU Tianjiao ZHENG Jie ZHAO Yanhe ZHU The State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China The Learning Algorithms and Systems Laboratory School of EngineeringÉcole Polytechnique Fédérale de LausanneLausanne CH 101510587Switzerland
Supernumerary robotic arms(SuperLimb)are a new type of wearable robot that works closely with humans as a third hand to augment human operation *** conveyance of wearers'intentions,allocation of roles,and humancen... 详细信息
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Transferring Shotcrete Skills to Robots
Transferring Shotcrete Skills to Robots
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IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)
作者: Rui Wu Soheil Gholami Tristan Bonato Louis Munier Aude Billard Learning algorithms and systems laboratory Swiss Federal Institute of Technology Lausanne Switzerland
Traditionally performed by skilled nozzle opera-tors, shotcrete remains a painful and risky task, where recurrent physical discomfort leads to severe and long-term health issues. When performed by novices or ill-train... 详细信息
来源: 评论
Dynamical System Approach to Navigation Around Obstacles
Dynamical System Approach to Navigation Around Obstacles
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European Control Conference (ECC)
作者: Aradhana Nayak Aude Billard Learning algorithms and systems laboratory (LASA) Ecole Polytechnique Federale de Lausanne (EPFL) Switzerland
In this article, we propose a dynamical system to avoid obstacles which are star shaped and simultaneously converge to a goal. The convergence is almost-global in a domain and the stationary points are identified expl... 详细信息
来源: 评论
learning Barrier-Certified Polynomial Dynamical systems for Obstacle Avoidance with Robots
arXiv
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arXiv 2024年
作者: Schonger, Martin Kussaba, Hugo T.M. Chen, Lingyun Figueredo, Luis Swikir, Abdalla Billard, Aude Haddadin, Sami Germany Albaida Libya School of Computer Science University of Nottingham United Kingdom Learning Algorithms and Systems Laboratory EPFL Switzerland
Established techniques that enable robots to learn from demonstrations are based on learning a stable dynamical system (DS). To increase the robots’ resilience to perturbations during tasks that involve static obstac... 详细信息
来源: 评论
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE
arXiv
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arXiv 2024年
作者: Regol, Florence Chataoui, Joud Charpentier, Bertrand Coates, Mark Piantanida, Pablo Gunnemann, Stephan McGill University Canada International Laboratory on Learning Systems Canada MILA Quebec Institute for Learning Algorithms Canada Technical University of Munich Germany École de Technologie Supérieure Canada
Machine learning models can solve complex tasks but often require significant computational resources during inference. This has led to the development of various post-training computation reduction methods that tackl... 详细信息
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Linearization and identification of multiple-attractor dynamical systems through Laplacian eigenmaps
The Journal of Machine Learning Research
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The Journal of Machine learning Research 2022年 第1期23卷 13290-13324页
作者: Bernardo Fichera Aude Billard Learning Algorithms and Systems Laboratory (LASA) École polytechnique fédérale de Lausanne Lausanne Switzerland
Dynamical systems (DS) are fundamental to the modeling and understanding time evolving phenomena, and have application in physics, biology and control. As determining an analytical description of the dynamics is often... 详细信息
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learning Barrier-Certified Polynomial Dynamical systems for Obstacle Avoidance with Robots
Learning Barrier-Certified Polynomial Dynamical Systems for ...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Martin Schonger Hugo T. M. Kussaba Lingyun Chen Luis Figueredo Abdalla Swikir Aude Billard Sami Haddadin Munich Institute of Robotics and Machine Intelligence (MIRMI) Technical University of Munich (TUM) Germany School of Computer Science University of Nottingham UK Omar Al-Mukhtar University (OMU) Albaida Libya Learning Algorithms and Systems Laboratory EPFL Switzerland
Established techniques that enable robots to learn from demonstrations are based on learning a stable dynamical system (DS). To increase the robots’ resilience to perturbations during tasks that involve static obstac... 详细信息
来源: 评论
ProtSTonKGs: A Sophisticated Transformer Trained on Protein Sequences, Text, and Knowledge Graphs  13
ProtSTonKGs: A Sophisticated Transformer Trained on Protein ...
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13th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2022
作者: Balabin, Helena Hoyt, Charles Tapley Gyori, Benjamin M. Bachman, John Kodamullil, Alpha Tom Hofmann-Apitius, Martin Domingo-Fernández, Daniel Department of Bioinformatics Fraunhofer Institute for Algorithms and Scientific Computing Sankt Augustin53757 Germany Bonn-Rhein-Sieg University of Applied Sciences Sankt Augustin53757 Germany Laboratory of Systems Pharmacology Harvard Medical School BostonMA02115 United States Fraunhofer Center for Machine Learning Germany Enveda Biosciences BoulderCO80301 United States
While most approaches individually exploit unstructured data from the biomedical literature or structured data from biomedical knowl- edge graphs, their union can better exploit the advantages of such ap- proaches, ul... 详细信息
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Efficient Configuration Exploration in Inverse Dynamics Acquisition of Robotic Manipulators
Efficient Configuration Exploration in Inverse Dynamics Acqu...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Farshad Khadivar Sthithparagya Gupta Walid Amanhoud Aude Billard Learning Algorithms and Systems Laboratory (LASA) Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland
The inverse dynamics of a robotic manipulator is instrumental in precise robot control and manipulation. However, acquiring such a model is challenging, not only due to unmodelled non-linearities such as joint frictio... 详细信息
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A Structured Prediction Approach for Robot Imitation learning
arXiv
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arXiv 2023年
作者: Duan, Anqing Batzianoulis, Iason Camoriano, Raffaello Rosasco, Lorenzo Pucci, Daniele Billard, Aude Robotics and Machine Intelligence Laboratory The Hong Kong Polytechnic University Hong Kong Learning Algorithms and Systems Laboratory École Polytechnique Fédérale de Lausanne Lausanne Switzerland Visual And Multimodal Applied Learning Laboratory Politecnico di Torino Turin Italy DIBRIS Università degli Studi di Genova Genoa Italy Laboratory for Computational and Statistical Learning IIT@MIT Istituto Italiano di Tecnologia Massachusetts Institute of Technology CambridgeMA United States Center Università di Genova Genoa Italy Dynamic Interaction Control research line Italian Institute of Technology Genoa Italy
We propose a structured prediction approach for robot imitation learning from demonstrations. Among various tools for robot imitation learning, supervised learning has been observed to have a prominent role. Structure... 详细信息
来源: 评论