Výsledky vyhledávání - Machine Learning for Robot Control

DEEP LEARNING-BASED VISUAL SERVOING ALGORITHM FOR WHEELED MOBILE ROBOT CONTROL

Autoři: Aleksandar Jokić Đorđe Jevtić Katarina Brenjo a další

Zdroj: 15th INTERNATIONAL SCIENTIFIC CONFERENCE MMA2024-FLEXIBLE TECHNOLOGIES

Témata: Intelligent control, Visual servoing, Mobile robot, Deep learning, Industry 4.0

Přístupová URL adresa: https://machinery.mas.bg.ac.rs/handle/123456789/7955
http://machinery.mas.bg.ac.rs/bitstream/id/20056/MMA-2024-separat.pdf

Application of Deep Learning in Autonomous Mobile Robot Control: An Overview

Autoři: Minh Nguyen Rickey Dubay

Zdroj: 2025 IEEE International systems Conference (SysCon). :1-8

Research on Industrial Robot Control and Path Planning Based on Deep Learning

Autoři: Qiyan Yan Zhibin Xiao Yali Huang a další

Zdroj: Proceedings of the 2025 3rd International Conference on Communication Networks and Machine Learning. :513-518

Research on the application of deep learning algorithms in robot control.

Autoři: Hui, Yuan

Zdroj: AIP Conference Proceedings; 2024, Vol. 3131 Issue 1, p1-7, 7p

Témata: MACHINE learning, ROBOT motion, ROBOT control systems, ARTIFICIAL intelligence, COMPUTER engineering, DEEP learning

Virtual Monitoring AI Robot Control System Based on Deep Learning

Autoři: Li Tang

Zdroj: 2024 5th International Conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI). :25-30

Safety-Critical Learning of Robot Control With Temporal Logic Specifications

Autoři: Mingyu Cai Cristian-Ioan Vasile

Zdroj: IEEE Transactions on Automatic Control. 70:5553-5560

Témata: FOS: Computer and information sciences, Computer Science - Robotics, Computer Science - Machine Learning, 0209 industrial biotechnology, Formal Languages and Automata Theory (cs.FL), Computer Science - Formal Languages and Automata Theory, 02 engineering and technology, Robotics (cs.RO), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2109.02791

Deep Learning-Based Speech Recognition and LabVIEW Integration for Intelligent Mobile Robot Control

Autoři: Kai-Chao Yao Wei-Tzer Huang Hsi-Huang Hsieh a další

Zdroj: Actuators, Vol 14, Iss 5, p 249 (2025)

Témata: TK1001-1841, Production of electric energy or power. Powerplants. Central stations, speech recognition, LabVIEW, TA401-492, deep learning, Materials of engineering and construction. Mechanics of materials, DeepSpeech2, Python, robot control

Přístupová URL adresa: https://doaj.org/article/0a4208ba655b43abb6c85b14be7d36de

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

Robot control system based on deep learning and RPA

Autoři: Yonghui Ren Yan Shi Chenglin Li a další

Zdroj: Journal of Intelligent & Fuzzy Systems. 46:10393-10403

Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control

Autoři: Wang, Haochen Shi, Zhiwei Zhu, Chengxi a další

Zdroj: 2025 IEEE International Conference on Robotics and Automation (ICRA). :15114-15120

Témata: FOS: Computer and information sciences, Computer Science - Robotics, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Robotics (cs.RO), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2504.17771

Lyapunov-Based Deep Learning Control for Robots with Unknown Jacobian

Autoři: Matsuno, Koji Cheah, Chien Chern

Témata: FOS: Computer and information sciences, Robotics, Robotics (cs.RO)

Přístupová URL adresa: http://arxiv.org/abs/2509.04984

Reinforcement learning-driven deep learning approaches for optimized robot trajectory planning.

Autoři: Shiyu, Fang

Zdroj: Scientific Reports; 10/29/2025, Vol. 15 Issue 1, p1-27, 27p

Témata: REINFORCEMENT learning, DEEP learning, BIPEDALISM, HUMAN locomotion, ROBOTIC path planning, ROBOT control systems

Application of Fuzzy Logic for Collaborative Robot Control.

Autoři: Autsou, Siarhei Dunajeva, Olga Pentel, Avar a další

Zdroj: Electronics (2079-9292); Oct2025, Vol. 14 Issue 20, p4029, 27p

Témata: FUZZY logic, HUMAN-robot interaction, EVOLUTIONARY algorithms, MACHINE learning, INDUSTRIAL robots, AUTOMATIC control systems

Embodied agents in real-world robots : integrated control and machine learning for intelligent behaviours

Autoři: Yuan, Kai Bilen, Hakan Ijspeert, Auke

Přispěvatelé: Yuan, Kai Bilen, Hakan Ijspeert, Auke

Témata: Robotics, Machine Learning, Reinforcement Learning, Control

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.857813

Model Optimization in Deep Learning Based Robot Control for Autonomous Driving

Autoři: Sergio Paniego Nikhil Paliwal JoséMaría Cañas

Zdroj: IEEE Robotics and Automation Letters. 9:715-722

Hysteresis-Aware Neural Network Modeling and Whole-Body Reinforcement Learning Control of Soft Robots

Autoři: Chen, Zongyuan Xia, Yan Liu, Jiayuan a další

Zdroj: IEEE Robotics and Automation Letters. :1-8

Témata: Machine Learning, FOS: Computer and information sciences, Robotics, Robotics (cs.RO), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2504.13582

Development of Advance Machine Learning (ML) Strategies for Enhanced Mobile Robot Control.

Autoři: Prashanthi, Valishetti Anitha, Akula devi, L. Madhuri a další

Zdroj: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 2, p2369-2391, 23p

Témata: ARTIFICIAL neural networks, REINFORCEMENT learning, MACHINE learning, DEEP reinforcement learning, ROBOT control systems

Deep Learning-Based Real-Time Hand Landmark Recognition with MediaPipe for R12 Robot Control

Autoři: Mohamed Bensaadallah Noureddine Ghoggali Lamir Saidi a další

Zdroj: 2023 International Conference on Electrical Engineering and Advanced Technology (ICEEAT). :1-6

Cross-fold deep learning for improving robot task execution precision in smart industries

Autoři: Guoyong Dai Hongxu Yang Hongxing Bai a další

Zdroj: Ain Shams Engineering Journal, Vol 17, Iss 1, Pp 103843- (2026)

Témata: Control Dissemination, Deep Learning, Robot Systems, Smart Industry, Task Execution, Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2090447925005842; https://doaj.org/toc/2090-4479

Přístupová URL adresa: https://doaj.org/article/ebfee20f907146d28add45135ca5f2fd

Real-Time Face Gesture-Based Robot Control Using GhostNet in a Unity Simulation Environment.

Autoři: Yaseen¹ (AUTHOR)

Zdroj: Sensors (14248220). Oct2025, Vol. 25 Issue 19, p6090. 19p.

Témata: *HUMAN-robot interaction, *DEEP learning, *ASSISTIVE technology, *ROBOT control systems, *EMOTION recognition, *REMOTE control, *GESTURE controlled interfaces (Computer systems), *SIMULATION software