Robot learning—Beyond imitation
Author:
Affiliation:
1. Guang-Zhong Yang is the Editor of Science Robotics and Director and Co-founder of the Hamlyn Centre, Imperial College London, London, UK.
Abstract
Publisher
American Association for the Advancement of Science (AAAS)
Subject
Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering
Reference10 articles.
1. Learning agile and dynamic motor skills for legged robots
2. Learning ambidextrous robot grasping policies
3. Vision-based grasp learning of an anthropomorphic hand-arm system in a synergy-based control framework
4. Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs
5. Soft robot perception using embedded soft sensors and recurrent neural networks
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