A machine learning-based visual servoing approach for fast robot control in industrial setting
Author:
Affiliation:
1. Department of Information Engineering (DEI), Intelligent Autonomous Systems Lab (IAS-Lab), University of Padova, Padua, Italy
Publisher
SAGE Publications
Subject
Artificial Intelligence,Computer Science Applications,Software
Link
http://journals.sagepub.com/doi/pdf/10.1177/1729881417738884
Reference17 articles.
1. Photometric Visual Servoing
2. Mutual Information-Based Visual Servoing
3. Neural network Reinforcement Learning for visual control of robot manipulators
4. Image-Based Visual Servoing of a 7-DOF Robot Manipulator Using an Adaptive Distributed Fuzzy PD Controller
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1. Visual Servoing Architecture of Mobile Manipulators for Precise Industrial Operations on Moving Objects;Robotics;2024-05-02
2. An online hyper‐volume action bounding approach for accelerating the process of deep reinforcement learning from multiple controllers;Journal of Field Robotics;2024-04-28
3. VISUAL SERVOING IN VIRTUALISED ENVIRONMENTS BASED ON OPTICAL FLOW LEARNING AND CONSTRAINED OPTIMISATION, 1-10.;International Journal of Robotics and Automation;2023
4. Boosting Performance of Visual Servoing Using Deep Reinforcement Learning From Multiple Demonstrations;IEEE Access;2023
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