Journal Article10.1177/02783649211032721
Sequential robot imitation learning from observations
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TL;DR: In this paper, a framework to learn the sequential structure in the demonstrations for robot imitation learning is presented. But this framework is not suitable for the task of human imitation learning, as shown in Figure 1.
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Abstract: This paper presents a framework to learn the sequential structure in the demonstrations for robot imitation learning. We first present a family of task-parameterized hidden semi-Markov models that ...
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Citations
The Classification and New Trends of Shared Control Strategies in Telerobotic Systems: A Survey
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Evolution of Surgical Robot Systems Enhanced by Artificial Intelligence: A Review
Yanzhen Liu,Xinbao Wu,Yudi Sang,Chunpeng Zhao,Yu Wang,Bojing Shi,Yubo Fan +6 more
TL;DR: This review introduces the developmental history of AI‐aided SRS, summarizes the basic SRS architecture, and analyzes how AI can improve SRS performance, including algorithm development, surgical data science, human–robot coordination, and trust building between humans and robots.
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Extended DMPs Framework for Position and Decoupled Quaternion Learning and Generalization
TL;DR: In this article , an extended Dynamic Movement Primitives (DMPs) framework was proposed for Quaternion-based orientation learning and generalization in a 2D sphere manifold.
Extended DMPs Framework for Position and Decoupled Quaternion Learning and Generalization
TL;DR: In this paper , an extended Dynamic Movement Primitives (DMPs) framework was proposed for Quaternion-based orientation learning and generalization in a 2D sphere manifold.
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