Learning Skills From Play: Artificial Curiosity On A Katana Robot Arm
2012 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)(2012)
摘要
Artificial curiosity tries to maximize learning progress. We apply this concept to a physical system. Our Katana robot arm curiously plays with wooden blocks, using vision, reaching, and grasping. It is intrinsically motivated to explore its world. As a by-product, it learns how to place blocks stably, and how to stack blocks.
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关键词
vectors,robot kinematics,feature extraction,learning artificial intelligence,physical system,vision
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