Výsledky vyhledávání - Optimization and Optimal Control Reinforcement Learning Machine Learning for Robot Control

A Stable Method for Task Priority Adaptation in Quadratic Programming via Reinforcement Learning

Autoři: Testa, Andrea Laghi, Marco Bianco, Edoardo Del a další

Přispěvatelé: Testa, Andrea Laghi, Marco Bianco, Edoardo Del a další

Zdroj: ISSN: 0736-5845.

Témata: Optimization and Optimal Control, Machine Learning for Robot Control, Reinforcement Learning, Optimization and Optimal Control Reinforcement Learning Machine Learning for Robot Control, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

Dostupnost: https://hal.science/hal-04280264
https://hal.science/hal-04280264v2/document
https://hal.science/hal-04280264v2/file/AdaptiveQP%20%281%29.pdf
https://doi.org/10.1016/j.rcim.2024.102857

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

Autoři: Davchev, Todor Bozhinov Hospedales, Timothy Ramamoorthy, Ram a další

Přispěvatelé: Davchev, Todor Bozhinov Hospedales, Timothy Ramamoorthy, Ram a další

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

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

Certifiable Robot Control under Uncertainty: Towards Safety, Stability, and Robustness

Autoři: Long, Kehan

Témata: Robotics, Applied mathematics, Computer science, Certifiable Robot Control, Deep Learning, Learning-based Control, Optimization and Control Theory, Robotics, Safe Autonomy

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/9s07n7vn
https://escholarship.org/content/qt9s07n7vn/qt9s07n7vn.pdf

Online parameter adaptive control of mobile robots based on deep reinforcement learning under multiple optimisation objectives.

Autoři: Sui, Xiuli Chen, Haiyong

Zdroj: Cognitive Computation & Systems; Dec2024, Vol. 6 Issue 4, p86-97, 12p

Témata: DEEP reinforcement learning, REINFORCEMENT learning, ADAPTIVE control systems, ARTIFICIAL intelligence, ROBOT control systems, MOBILE robots

Deep reinforcement learning for shared control of mobile robots

Autoři: Chong Tian Shahil Shaik Yue Wang

Zdroj: IET Cyber-systems and Robotics, Vol 3, Iss 4, Pp 315-330 (2021)

Témata: delays, mean square error methods, optimisation, telerobotics, deep learning (artificial intelligence), Cybernetics, Q300-390, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2631-6315

Přístupová URL adresa: https://doaj.org/article/bcf3a2477eca4a7eae34bf21e0c96899

A Stable Method for Task Priority Adaptation in Quadratic Programming Via Reinforcement Learning

Autoři: Andrea Testa Marco Laghi Edoardo Del Bianco a další

Přispěvatelé: Andrea Testa Marco Laghi Edoardo Del Bianco a další

Zdroj: Robotics and Computer-Integrated Manufacturing. 91:102857

Témata: 0209 industrial biotechnology, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], Optimization and Optimal Control, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning for Robot Control, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], 02 engineering and technology, Optimization and Optimal Control Reinforcement Learning Machine Learning for Robot Control, Reinforcement Learning, 12. Responsible consumption

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-04280264v2
https://hal.science/hal-04280264v2/document
https://doi.org/10.1016/j.rcim.2024.102857

Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control

Autoři: Le Lidec, Quentin Jallet, Wilson Laptev, Ivan a další

Přispěvatelé: Le Lidec, Quentin Jallet, Wilson Laptev, Ivan a další

Zdroj: 2023 IEEE International Conference on Robotics and Automation (ICRA). :946-952

Témata: FOS: Computer and information sciences, Computer Science - Robotics, Computer Science - Machine Learning, 0209 industrial biotechnology, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], 02 engineering and technology, 0101 mathematics, Robotics (cs.RO), 01 natural sciences, Machine Learning (cs.LG)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2209.09006
https://hal.science/hal-03780392v3

A robust, agile and versatile humanoid locomotion based on analytical control and residual physics

Autoři: Kasaei, Seyed Mohammadreza Mohades

Témata: Humanoid robots, Biped locomotion, Optimal control, Learning residual physics, Proximal Policy Optimization (PPO), Deep Reinforcement Learning (DRL)

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10773/33545

Reaching the limit in autonomous racing: Optimal control versus reinforcement learning.

Autoři: Song, Yunlong Romero, Angel Müller, Matthias a další

Zdroj: Science Robotics; 9/13/2023, Vol. 8 Issue 82, p1-14, 14p

Témata: MOBILE robot control systems, REINFORCEMENT learning, ROBOT control systems, ACCELERATION (Mechanics), ROBUST control

A Stable Method for Task Priority Adaptation in Quadratic Programming via Reinforcement Learning

Autoři: Testa, Andrea Laghi, Marco del Bianco, Edoardo a další

Přispěvatelé: Testa, Andrea Laghi, Marco del Bianco, Edoardo a další

Zdroj: https://hal.science/hal-04280264 ; 2023.

Témata: Optimization and Optimal Control, Machine Learning for Robot Control, Reinforcement Learning, Optimization and Optimal Control Reinforcement Learning Machine Learning for Robot Control, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

Relation: hal-04280264; https://hal.science/hal-04280264; https://hal.science/hal-04280264/document; https://hal.science/hal-04280264/file/PrePrint.pdf

Dostupnost: https://hal.science/hal-04280264
https://hal.science/hal-04280264/document
https://hal.science/hal-04280264/file/PrePrint.pdf

A study on robot force control based on the GMM/GMR algorithm fusing different compensation strategies.

Autoři: Meng Xiao Xuefei Zhang Tie Zhang a další

Zdroj: Frontiers in Neurorobotics; 2024, p1-15, 15p

Témata: ROBOT control systems, MACHINE learning, IMPEDANCE control, GAUSSIAN mixture models, REINFORCEMENT learning, ALGORITHMS, ARTIFICIAL skin

Intelligent Time Delay Control of Telepresence Robots Using Novel Deep Reinforcement Learning Algorithm to Interact with Patients.

Autoři: Naseer, Fawad Khan, Muhammad Nasir Altalbe, Ali

Zdroj: Applied Sciences (2076-3417); Feb2023, Vol. 13 Issue 4, p2462, 20p

Témata: REINFORCEMENT learning, MACHINE learning, TIME delay systems, ROBOT control systems, HUMAN-robot interaction, ROBOT programming, TELECOMMUNICATION systems

Efficient Robot Manipulation via Reinforcement Learning with Dynamic Movement Primitives-Based Policy.

Autoři: Li, Shangde Huang, Wenjun Miao, Chenyang a další

Zdroj: Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 22, p10665, 16p

Témata: REINFORCEMENT learning, ROBOT control systems, ROBOTS, PRIOR learning, LEARNING

Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control

Autoři: Lidec, Quentin Le Jallet, Wilson Laptev, Ivan a další

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

URL: http://arxiv.org/abs/2209.09006

A Path-Integral-Based Reinforcement Learning Algorithm for Path Following of an Autoassembly Mobile Robot.

Autoři: Zhu, Wei Guo, Xian Fang, Yongchun a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Nov2020, Vol. 31 Issue 11, p4487-4499, 13p

Témata: REINFORCEMENT learning, MOBILE robots, MACHINE learning, ROBOT control systems, AUTOMATION

Application of Artificial Intelligence Technologies in Livestock Management.

Alternate Title: Hayvancılıkta Yapay Zekâ Teknolojilerinin Uygulanması.

Autoři: DİLAVER, Hatice DİLAVER, Kamil Fatih

Zdroj: Journal of Animal Science & Economics. Jul2025, Vol. 4 Issue 2, p64-74. 11p.

Témata: Natural language processing, Artificial neural networks, Supervised learning, Artificial intelligence, Agriculture

Navigating Intelligence: A Survey of Google OR‐Tools and Machine Learning for Global Path Planning in Autonomous Vehicles

Autoři: Alexandre Benoit Pedram Asef

Zdroj: Advanced Intelligent Systems, Vol 6, Iss 9, Pp n/a-n/a (2024)

Témata: autonomous vehicles, global path planning, Google OR‐tools, machine learning, Q‐learning algorithms, reinforcement learning, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2640-4567

Přístupová URL adresa: https://doaj.org/article/e70c5119f1e74b408cd3f72ac9b79662

Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning

Autoři: Klink, Pascal Wolf, Florian Ploeger, Kai a další

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

URL: http://arxiv.org/abs/2309.14096

Quantifying the effect of feedback frequency in interactive reinforcement learning for robotic tasks.

Autoři: Harnack, Daniel Pivin-Bachler, Julie Navarro-Guerrero, Nicolás

Zdroj: Neural Computing & Applications; Aug2023, Vol. 35 Issue 23, p16931-16943, 13p

Témata: REINFORCEMENT learning, INTERACTIVE learning, ROBOT control systems, ROBOTICS, CHANGE agents

Data-Driven Dynamic Multiobjective Optimal Control: An Aspiration-Satisfying Reinforcement Learning Approach.

Autoři: Mazouchi, Majid Yang, Yongliang Modares, Hamidreza

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Nov2022, Vol. 33 Issue 11, p6183-6193, 11p

Témata: REINFORCEMENT learning, NONLINEAR systems, PARETO optimum, SATISFACTION, COST functions, SYSTEM dynamics, CONTINUOUS time systems, HAMILTON-Jacobi-Bellman equation