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   Articles with "imitation learning" as a keyword



View: visual imitation learning with waypoints

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recommendations! Published in 2024 at "Autonomous Robots"

DOI: 10.1007/s10514-024-10188-y

Abstract: Robots can use visual imitation learning (VIL) to learn manipulation tasks from video demonstrations. However, translating visual observations into actionable robot policies is challenging due to the high-dimensional nature of video data. This challenge is… read more here.

Keywords: view; manipulation tasks; visual imitation; imitation learning ... See more keywords

Subtle temporal delays of mothers' responses affect imitation learning in children: Mother-child interaction study.

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recommendations! Published in 2019 at "Journal of experimental child psychology"

DOI: 10.1016/j.jecp.2018.10.010

Abstract: The relationship between temporal contiguity of mothers' teaching behaviors and children's imitation learning was investigated. Participants (2-year-old children) observed their mothers' demonstration of using novel toys over a double television system under live and delayed… read more here.

Keywords: condition; subtle temporal; imitation; mothers responses ... See more keywords
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Template-based imitation learning for manipulating symmetric objects

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recommendations! Published in 2021 at "Mechatronics"

DOI: 10.1016/j.mechatronics.2021.102609

Abstract: Abstract With the rise of small batch production, the need to shorten the development cycle has become urgent. This work aims to allow people without expert knowledge to program the robot in a single demonstration… read more here.

Keywords: manipulating symmetric; based imitation; imitation learning; learning manipulating ... See more keywords

Teacher-learner interaction quantifies scaffolding behaviour in imitation learning

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recommendations! Published in 2019 at "Scientific Reports"

DOI: 10.1038/s41598-019-44049-x

Abstract: Teachers often believe that they take into account learners’ ongoing learning progress in their teaching. Can behavioural data support this belief? To address this question, we investigated the interactive behavioural coordination between teachers and learners… read more here.

Keywords: interaction quantifies; learner interaction; information; teacher learner ... See more keywords
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Safe and efficient imitation learning by clarification of experienced latent space

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recommendations! Published in 2021 at "Advanced Robotics"

DOI: 10.1080/01691864.2021.1959397

Abstract: Behavioral cloning from observation (BCO) allows the robot to learn the policy without the expert's action information. However, it requires a few interactions with the environment to infer expert's action with risk of robot failures.… read more here.

Keywords: efficient imitation; bco; clarification experienced; imitation learning ... See more keywords

Phase-amplitude reduction-based imitation learning

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recommendations! Published in 2024 at "Advanced Robotics"

DOI: 10.1080/01691864.2024.2441242

Abstract: In this study, we propose the use of the phase-amplitude reduction method to construct an imitation learning framework. Imitating human movement trajectories is recognized as a promising strategy for generating a range of human-like robot… read more here.

Keywords: method; based imitation; amplitude reduction; imitation learning ... See more keywords

Variable-speed teaching–playback as real-world data augmentation for imitation learning

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recommendations! Published in 2024 at "Advanced Robotics"

DOI: 10.1080/01691864.2025.2497423

Abstract: Imitation learning’s inevitable reliance on human demonstrations in hard-to-simulate settings has resulted in a shortage of training data, even with a simple change in speed. Although the field of data augmentation has addressed the lack… read more here.

Keywords: augmentation; real world; imitation learning; data augmentation ... See more keywords

Active Inference Integrated with Imitation Learning for Autonomous Driving

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3172712

Abstract: Classical imitation learning methods suffer substantially from the learning hierarchical policies when the imitative agent faces an unobserved state by the expert agent. To address these drawbacks, we propose an online active learning through active… read more here.

Keywords: active inference; agent; action; imitation learning ... See more keywords

Imitation Learning for Nonprehensile Manipulation Through Self-Supervised Learning Considering Motion Speed

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3185651

Abstract: Robots are expected to replace menial tasks such as housework. Some of these tasks include nonprehensile manipulation performed without grasping objects. Nonprehensile manipulation is very difficult because it requires considering the dynamics of environments and… read more here.

Keywords: speed; supervised learning; self supervised; manipulation ... See more keywords

Learning and Assessing Optimal Dynamic Treatment Regimes Through Cooperative Imitation Learning

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3193494

Abstract: Dynamic Treatment Regimes (DTRs) are sets of sequential decision rules that can be adapted over time to treat patients with a specific pathology. DTR consists of alternative treatment paths and any of these treatments can… read more here.

Keywords: treatment regimes; dynamic treatment; imitation learning; treatment ... See more keywords

Imitation Learning With Time-Varying Synergy for Compact Representation of Spatiotemporal Structures

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3264213

Abstract: Imitation learning is a promising approach for robots to learn complex motor skills. Recent techniques allow robots to learn long-term movements comprising multiple sub-behaviors. However, learning the temporal structures of movements from a demonstration is… read more here.

Keywords: time; sub behaviors; imitation learning; time varying ... See more keywords