A thinking-learning interaction model enables robots to adapt input features, expand output categories, update models, and reconstruct actions via environmental interaction, with reported experimental gains.
Towards open world object detection,
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Beyond Predefined Learning Objects: A Thinking-Learning Interaction Model for Up-to-Date Autonomous Robot Learning
A thinking-learning interaction model enables robots to adapt input features, expand output categories, update models, and reconstruct actions via environmental interaction, with reported experimental gains.