Results 31 to 40 of about 11,612 (263)
, 2008 The conjunctive conception takes imitation to be a combination of observational learning and copying. In the target article, and elsewhere, this conception generates problems in 1) explaining the copying of intransitive actions, 2) elucidating the ...
Heyes, C., Heyes, C
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Towards One Shot Learning by Imitation for Humanoid Robots [PDF]
, 2010 16/01/14 MEB. Pre-print version OK to pub.Teaching a robot to learn new knowledge is a repetitive and tedious process. In order to accelerate the process, we propose a novel template-based approach for robot arm movement imitation. This algorithm selects
null Yan Wu +3 more
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Frontiers in Robotics and AIDexterous manipulation is a crucial yet highly complex challenge in humanoid robotics, demanding precise, adaptable, and sample-efficient learning methods. As humanoid robots are usually designed to operate in human-centric environments and interact with
Edgar Welte, Rania Rayyes
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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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Frontiers in Robotics and AIImitation learning (IL), a burgeoning frontier in machine learning, holds immense promise across diverse domains. In recent years, its integration into robotics has sparked significant interest, offering substantial advancements in autonomous control ...
Siavash Mahmoudi +8 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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Episodic self-imitation learning with hindsight [PDF]
, 2020 Episodic self-imitation learning, a novel self-imitation algorithm with a trajectory selection module and an adaptive loss function, is proposed to speed up reinforcement learning. Compared to the original self-imitation learning algorithm, which samples
Bharath, Anil +6 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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The Relationship between Motor Coordination and Imitation: An fNIRS Study
Brain Sciences, 2021 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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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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