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Across cultures, imitation provides a crucial route to learning during infancy. However, neural predictors which would enable early identification of infants at risk of suboptimal developmental outcomes are still rare.
Laura Katus +11 more
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Dossier Imitation - Introduction générale
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
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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Imitation learning and co-presence learning are common forms of social learning. However, the effects of these two types of learning on acquiring word formation rules have gone relatively underexplored, particularly in the context of adult social ...
Yujing Shen +3 more
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The Relationship between Motor Coordination and Imitation: An fNIRS Study
Although motor coordination and imitation are important factors affecting motor skill learning, few studies have examined the relationship between them in healthy adults.
Wenrui Zhao +3 more
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Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
Imitation learning is an effective approach for autonomous systems to acquire control policies when an explicit reward function is unavailable, using supervision provided as demonstrations from an expert, typically a human operator.
Abbeel, Pieter +3 more
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Manuscript submitted to a journal for review on January 5 ...
Zhihao Cheng +3 more
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Probabilistic model-based imitation learning [PDF]
Efficient skill acquisition is crucial for creating versatile robots. One intuitive way to teach a robot new tricks is to demonstrate a task and enable the robot to imitate the demonstrated behavior. This approach is known as imitation learning. Classical methods of imitation learning, such as inverse reinforcement learning or behavioral cloning ...
Englert, P +3 more
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Generative Adversarial Network for Imitation Learning from Single Demonstration
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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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
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