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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3140813
Abstract: Adaptive learning is critical to helping robots personalize their interactions with people, particularly when considering skills needed by socially assistive robots, such as persuasion. In this letter, we propose a novel, hybrid hierarchical learning architecture…
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Keywords:
robot interaction;
robot;
hybrid hierarchical;
human robot ... See more keywords
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Published in 2023 at "SAGE Open"
DOI: 10.1177/21582440231166593
Abstract: The study of learning behaviors with multi features is of great significance for interactive cooperation. The data prediction and decision are to realize the comprehensive analysis and value mining. In this study, hierarchical learning behavior…
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Keywords:
based feature;
feature;
learning behaviors;
interactive cooperation ... See more keywords