Results 91 to 100 of about 5,721,941 (348)
Influence of action-effect associations acquired by ideomotor learning on imitation.
PLoS ONE, 2015 According to the ideomotor theory, actions are represented in terms of their perceptual effects, offering a solution for the correspondence problem of imitation (how to translate the observed action into a corresponding motor output).
Frédérique Bunlon +3 more
doaj +1 more source
CompILE: Compositional Imitation Learning and Execution [PDF]
, 2019 We introduce Compositional Imitation Learning and Execution (CompILE): a framework for learning reusable, variable-length segments of hierarchically-structured behavior from demonstration data.
Battaglia, Peter +7 more
core +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley +1 more source
THE POTENTIAL OF USING IMITATION AS LEARNING IN ENHANCING THE SOCIAL BEHAVIOR OF CHILDREN WITH ASD [PDF]
Analele Universităţii din Craiova. Psihologie, Pedagogie, 2020 A plethora of studies have been conducted with regards to imitation as primary method of learning trough which children acquire new skills. A serious amount of evidence has been brought up in recent years suggesting that ‘being imitated’ presents social ...
Oprea-Valentin BUȘU +2 more
doaj
Hand to mouth: automatic imitation across effector systems [PDF]
, 2007 The effector-specificity of automatic imitation was investigated using a stimulus-response compatibility (SRC) procedure in which participants were required to make an open or a close response with either their hand or their mouth.
Heyes, C., Leighton, J.
core
HumanMimic: Learning Natural Locomotion and Transitions for Humanoid Robot via Wasserstein Adversarial Imitation [PDF]
, 2023 Annan Tang +7 more
openalex +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Coordinated Multi-Agent Imitation Learning [PDF]
, 2017 We study the problem of imitation learning from demonstrations of multiple coordinating agents. One key challenge in this setting is that learning a good model of coordination can be difficult, since coordination is often implicit in the demonstrations ...
Carr, Peter +3 more
core +2 more sources
In-Hand Re-grasp Manipulation with Passive Dynamic Actions via Imitation Learning [PDF]
, 2023 Dehao Wei +7 more
openalex +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source