Výsledky vyhľadávania - Learning from Demonstration Sensorimotor Learning Machine Learning for Robot Control*

Sensorimotor Learning With Stability Guarantees via Autonomous Neural Dynamic Policies

Autori: Totsila, Dionis Chatzilygeroudis, Konstantinos Modugno, Valerio a ďalší

Prispievatelia: Totsila, Dionis Chatzilygeroudis, Konstantinos Modugno, Valerio a ďalší

Zdroj: IEEE Robotics and Automation Letters. 10:1760-1767

Predmety: Learning from Demonstration, Learning from Demonstration Sensorimotor Learning Machine Learning for Robot Control, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], Sensorimotor Learning, Machine Learning for Robot Control

Popis súboru: application/pdf

Prístupová URL adresa: https://inria.hal.science/hal-04913600v1
https://doi.org/10.1109/lra.2024.3524878
https://inria.hal.science/hal-04913600v1/document

Structured machine learning models for robustness against different factors of variability in robot control

Autori: Davchev, Todor Bozhinov Hospedales, Timothy Ramamoorthy, Ram a ďalší

Prispievatelia: Davchev, Todor Bozhinov Hospedales, Timothy Ramamoorthy, Ram a ďalší

Predmety: Robotics, Machine learning, Reinforcement Learning, Robot Learning, Learning from Demonstrations, Structured Machine Learning, Goal-conditioned Learning

Prístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.872272

Coupled Conditional Neural Movement Primitives.

Autori: Pekmezci, Mehmet Ugur, Emre Oztop, Erhan

Zdroj: Neural Computing & Applications; Oct2024, Vol. 36 Issue 30, p18999-19021, 23p

Predmety: ROBOT motion, MOTOR ability, ROBOTS, DEEP learning, COUPLES

INTUITIVE LEARNING IN MULTI-ROBOT SYSTEMS

Autori: Lakshmi Narayan Vishnunandan Venkatesh

Predmety: Control engineering, mechatronics and robotics not elsewhere classified, Intelligent robotics, Artificial intelligence not elsewhere classified, Machine learning not elsewhere classified, Robotics, Multi-Robot Systems, human robot interaction (HRI), Large Language Model in Robotics, Machine Vision, Learning from Demonstration (LfD), Reinforcement Learning, Vision Language Models, Mobile Robots, Robot Learning

Dostupnosť: https://doi.org/10.25394/pgs.29367377.v1
https://figshare.com/articles/thesis/INTUITIVE_LEARNING_IN_MULTI-ROBOT_SYSTEMS/29367377

Leveraging Motor Babbling for Efficient Robot Learning.

Autori: Kase, Kei Matsumoto, Noboru Ogata, Tetsuya

Zdroj: Journal of Robotics & Mechatronics; Oct2021, Vol. 33 Issue 5, p1063-1074, 12p

Predmety: DEEP learning, ROBOT programming, ROBOTS, PROPRIOCEPTION, TASK performance

ASAP-CORPS: A Semi-Autonomous Platform for COntact-Rich Precision Surgery.

Autori: Balakuntala, Mythra V Gonzalez, Glebys T Wachs, Juan P a ďalší

Zdroj: Military Medicine; 2023 Supplement, Vol. 188, p412-419, 8p

Predmety: SURGICAL intensive care, MACHINE learning, REINFORCEMENT learning, SUPPORT vector machines, CRICOTHYROTOMY, DATABASES

Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots

Autori: Kwon, Hyukjun Kim, Kangwon Lee, Junyoung a ďalší

Relation: Proceedings - IEEE International Conference on Robotics and Automation; http://hdl.handle.net/20.500.11750/57837

Dostupnosť: https://hdl.handle.net/20.500.11750/57837
https://doi.org/10.1109/ICRA57147.2024.10610176
https://icra2024.xsrv.jp/program/#Program-Overview

Human–robot skill transmission for mobile robot via learning by demonstration.

Autori: Li, Jiehao Wang, Junzheng Wang, Shoukun a ďalší

Zdroj: Neural Computing & Applications; Nov2023, Vol. 35 Issue 32, p23441-23451, 11p

Predmety: MOBILE robots, HUMAN activity recognition, RECURRENT neural networks

A robot demonstration method based on LWR and Q-learning algorithm.

Autori: Zhao, Guangzhe Tao, Yong Liu, Hui a ďalší

Zdroj: Journal of Intelligent & Fuzzy Systems; 2018, Vol. 35 Issue 1, p35-46, 12p

Predmety: ROBOTS, REGRESSION analysis, DECISION theory, MACHINE learning, ALGORITHMS

Efficient sensorimotor learning from multiple demonstrations.

Autori: Nemec, Bojan Vuga, Rok Ude, Aleš

Zdroj: Advanced Robotics. Nov2013, Vol. 27 Issue 13, p1023-1031. 9p.

Predmety: *SENSORIMOTOR integration, *MACHINE learning, *PROBLEM solving, *ROBOTICS research, *CONFIGURATIONS (Geometry)

A combined learning and optimization framework to transfer human whole-body loco-manipulation skills to mobile manipulators.

Autori: Zhao, Jianzhuang Tassi, Francesco Huang, Yanlong a ďalší

Zdroj: Robotics & Autonomous Systems. Jul2025, Vol. 189, pN.PAG-N.PAG. 1p.

Predmety: *MACHINE learning, *IMPEDANCE control, *QUADRATIC programming, *ORBITAL transfer (Space flight), *LEARNING, *WRIST

Learning for Adaptive and Reactive Robot Control : A Dynamical Systems Approach

Autori: Aude Billard Sina Mirrazavi Nadia Figueroa

Typ zdroja: eBook.

Predmet: Autonomous robots, Machine learning, Robots--Control systems--Mathematical models

Kategórie: TECHNOLOGY & ENGINEERING / Robotics, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science

A Quantum-Statistical Approach Toward Robot Learning by Demonstration.

Autori: Chatzis, Sotirios P. Korkinof, Dimitrios Demiris, Yiannis

Zdroj: IEEE Transactions on Robotics; Dec2012, Vol. 28 Issue 6, p1371-1381, 11p

Predmety: ROBOTS, QUANTUM theory, MACHINE learning, GAUSSIAN mixture models, REGRESSION analysis, QUANTUM statistics, ROBOTIC trajectory control

Neural Dynamic Policies for End-to-End Sensorimotor Learning

Autori: Bahl, Shikhar Mukadam, Mustafa Gupta, Abhinav a ďalší

Témy: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Robotics, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2012.02788

Correspondence learning between morphologically different robots via task demonstrations

Autori: Aktas, Hakan Nagai, Yukie Asada, Minoru a ďalší

Témy: Computer Science - Robotics, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2310.13458

Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning

Autori: Tagliabue, Andrea How, Jonathan P.

Témy: Computer Science - Robotics, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2210.10127

Cleaning Tasks Knowledge Transfer Between Heterogeneous Robots: a Deep Learning Approach.

Autori: Kim, Jaeseok Cauli, Nino Vicente, Pedro a ďalší

Zdroj: Journal of Intelligent & Robotic Systems; Apr2020, Vol. 98 Issue 1, p191-205, 15p

Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations

Autori: Hao, Yilun Wang, Ruinan Cao, Zhangjie a ďalší

Témy: Computer Science - Machine Learning, Computer Science - Robotics, text

URL: http://arxiv.org/abs/2209.07682

A Framework for Composite Layup Skill Learning and Generalizing Through Teleoperation.

Autori: Si, Weiyong Wang, Ning Li, Qinchuan a ďalší

Zdroj: Frontiers in Neurorobotics; 2/11/2022, Vol. 16, p1-16, 16p

Predmety: REMOTE control, IMPEDANCE control, SPACE robotics, JOB skills, HUMAN-robot interaction

Human-In-The-Loop Control and Task Learning for Pneumatically Actuated Muscle Based Robots.

Autori: Teramae, Tatsuya Ishihara, Koji Babič, Jan a ďalší

Zdroj: Frontiers in Neurorobotics; 1/24/2019, pN.PAG-N.PAG, 10p

Predmety: MOTOR learning, ELECTROMYOGRAPHY, MUSCLE physiology, HUMAN-robot interaction, TASK performance