Results 51 to 60 of about 5,721,941 (348)

Did social cognition evolve by cultural group selection? [PDF]

open access: yes, 2019
Cognitive gadgets puts forward an ambitious claim: language, mindreading, and imitation evolved by cultural group selection. Defending this claim requires more than Heyes' spirited and effective critique of nativist claims.
Morin, O.
core   +3 more sources

Dynamic Attention Analysis of Body Parts in Transformer-Based Human–Robot Imitation Learning with the Embodiment Gap

open access: yesMachines
In imitation learning between humans and robots, the embodiment gap is a key challenge. By focusing on a specific body part and compensating for the rest according to the robot’s size, the embodiment gap can be overcome. In this paper, we analyze dynamic
Yoshiki Tsunekawa, Kosuke Sekiyama
doaj   +1 more source

Agile Autonomous Driving using End-to-End Deep Imitation Learning

open access: yes, 2019
We present an end-to-end imitation learning system for agile, off-road autonomous driving using only low-cost sensors. By imitating a model predictive controller equipped with advanced sensors, we train a deep neural network control policy to map raw ...
Boots, Byron   +6 more
core   +1 more source

Imitation learning for task allocation [PDF]

open access: yes2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
At the heart of multi-robot task allocation lies the ability to compare multiple options in order to select the best. In some domains this utility evaluation is not straightforward, for example due to complex and unmodeled underlying dynamics or an adversary in the environment. Explicitly modeling these extrinsic influences well enough so that they can
Duvallet, Felix, Stentz, Anthony
openaire   +1 more source

Compressed imitation learning

open access: yes, 2020
In analogy to compressed sensing, which allows sample-efficient signal reconstruction given prior knowledge of its sparsity in frequency domain, we propose to utilize policy simplicity (Occam's Razor) as a prior to enable sample-efficient imitation learning.
Zhao, Nathan, Lou, Beicheng
openaire   +2 more sources

Cross-Embodiment Kinematic Behavioral Cloning (X-EKBC): An Energy-Based Framework for Human–Robot Imitation Learning with the Embodiment Gap

open access: yesMachines
In imitation learning with the embodiment gap, directly transferring human motions to robots is challenging due to differences in body structures. Therefore, it is necessary to reconstruct human motions in accordance with each robot’s embodiment.
Yoshiki Tsunekawa   +2 more
doaj   +1 more source

Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing

open access: yesFEBS Letters, EarlyView.
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley   +1 more source

Permettre la compréhension de l’action dans un jeu d’imitation. Le cas de l’action conjointe entre un artiste chorégraphique et des élèves-danseurs à l’école élémentaire

open access: yesRecherches en Éducation, 2019
The central role played by imitation within the various human societies leads us to consider it from an anthropological point of view. We describe it as a complex process allowing the intergenerational transmission of cultural behaviours and elements ...
Virginie Messina
doaj   +1 more source

Visual imagery imitation skills and cognitive functions in patients with Schizophrenia

open access: yesHong Kong Journal of Occupational Therapy, 2022
Background/Objectives Visual demonstration by occupational therapists is very common in psychiatric treatment, however, some patients with schizophrenia could not imitate the actions despite the absence of any physical impairments. Therefore, the purpose
Makoto Tanaka   +4 more
doaj   +1 more source

Imitation Learning through Image Augmentation Using Enhanced Swin Transformer Model in Remote Sensing

open access: yesRemote Sensing, 2023
In unmanned systems, remote sensing is an approach that collects and analyzes data such as visual images, infrared thermal images, and LiDAR sensor data from a distance using a system that operates without human intervention.
Yoojin Park, Yunsick Sung
doaj   +1 more source

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