Results 31 to 40 of about 17,478 (259)
Dossier Imitation - Introduction générale
Revue de Primatologie, 2009 This special issue is interested in the ontogeny and the phylogeny of imitation. We have invited experts in developmental psychology and in primatology to discuss the definition of imitation in Human, its existence in non human primate species and to ...
Odile Petit, Olivier Pascalis
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Hybrid Trajectory and Force Learning of Complex Assembly Tasks: A Combined Learning Framework
IEEE Access, 2021 Complex assembly tasks involve nonlinear and low-clearance insertion trajectories with varying contact forces at different stages. For a robot to solve these tasks, it requires a precise and adaptive controller which conventional force control methods ...
Yan Wang +3 more
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Generative Adversarial Network for Imitation Learning from Single Demonstration
مجلة بغداد للعلوم, 2021 Imitation learning is an effective method for training an autonomous agent to accomplish a task by imitating expert behaviors in their demonstrations.
Tho Nguyen Duc +3 more
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Divide & Conquer Imitation Learning
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 When cast into the Deep Reinforcement Learning framework, many robotics tasks require solving a long horizon and sparse reward problem, where learning algorithms struggle. In such context, Imitation Learning (IL) can be a powerful approach to bootstrap the learning process.
Chenu, Alexandre +2 more
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MachinesIn 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
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Brain and BehaviorPurpose Observational learning through imitation is an important ability across various domains. Although research has found that delayed imitation produces superior learning outcomes compared with other observational learning strategies, the underlying ...
Cuirong Yang +4 more
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Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
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IEEE Transactions on Neural Networks and Learning SystemsManuscript submitted to a journal for review on January 5 ...
Zhihao Cheng +3 more
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MachinesIn 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
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Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
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