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Editorial: Advanced learning control in physical interaction tasks [PDF]
Frontiers in Robotics and AI, 2023 Chao Zeng +3 more
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Editorial: Advancements in neural learning control for enhanced multi-robot coordination [PDF]
Frontiers in Robotics and AIShude He +5 more
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State of the Art of Adaptive Dynamic Programming and Reinforcement Learning
CAAI Artificial Intelligence Research, 2022 This article introduces the state-of-the-art development of adaptive dynamic programming and reinforcement learning (ADPRL). First, algorithms in reinforcement learning (RL) are introduced and their roots in dynamic programming are illustrated.
Derong Liu, Mingming Ha, Shan Xue
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Learning Control of Redundant DOF Robots by Optimization of Parameterized Control Space [PDF]
Modeling, Identification and Control, 1988 A framework for the learning control of robots based on a parameterized control space is doscussed. Emphasis is put on how to utilize stored motion knowledge.
Erling Lunde, Jens G. Balchen
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Modeling and Control Design of a Contact-Based, Electrostatically Actuated Rotating Sphere
Actuators, 2022 The performance of micromirrors in terms of their maximum deflection is often limited due to mechanical constraints in the design. To increase the range of achievable deflection angles, we present a novel concept in which a free-lying sphere with a flat ...
Michael Olbrich +3 more
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Discerning Discretization for Unmanned Underwater Vehicles DC Motor Control
Journal of Marine Science and Engineering, 2023 Discretization is the process of converting a continuous function or model or equation into discrete steps. In this work, learning and adaptive techniques are implemented to control DC motors that are used for actuating control surfaces of unmanned ...
Jovan Menezes, Timothy Sands
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An Adaptive Voltage Control Using Local Voltage Profile Mode and Similarity Ranking
Frontiers in Energy Research, 2022 Emergency voltage control provides a real-time online response to maintain the long-term voltage stability of a power system. Searching for an optimal emergency control solution is a hard combinatorial optimization problem because of the highly dynamic ...
Haomin Ma +4 more
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Energies, 2021 In this paper, a novel Virtual State-feedback Reference Feedback Tuning (VSFRT) and Approximate Iterative Value Iteration Reinforcement Learning (AI-VIRL) are applied for learning linear reference model output (LRMO) tracking control of observable ...
Mircea-Bogdan Radac +1 more
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Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2008 This paper describes the motion control of hyper redundant robots using a learning control scheme based on linear combination of error history. The learning control scheme is formulated with three elements: general solution of inverse kinematics with ...
Daisuke MATSUURA, Nobuyuki IWATSUKI
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Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach
Frontiers in Computer Science, 2022 We tackle the task of cross-domain visual geo-localization, where the goal is to geo-localize a given query image against a database of geo-tagged images, in the case where the query and the database belong to different visual domains.
Valerio Paolicelli +5 more
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