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Emperical Interference
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Dynamic Locomotion
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Human Aspects of Machine Learning
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Learning and Dynamical Systems
Locomotion in Biorobotic and Somatic Systems
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Topics
Robot Learning
Conference Paper
2022
Autonomous Learning
Robotics
AI
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Autonomous Learning
Article
Variants of guided self-organization for robot control
Martius, G., Herrmann, J.
Theory in Biosci., 131(3):129-137, Springer Berlin / Heidelberg, 2012
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Autonomous Learning
Book
The Playful Machine - Theoretical Foundation and Practical Realization of Self-Organizing Robots
Der, R., Martius, G.
Springer, Berlin Heidelberg, 2012
URL
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Autonomous robots may become our closest companions in the near future. While the technology for physically building such machines is already available today, a problem lies in the generation of the behavior for such complex machines. Nature proposes a solution: young children and higher animals learn to master their complex brain-body systems by playing. Can this be an option for robots? How can a machine be playful? The book provides answers by developing a general principle---homeokinesis, the dynamical symbiosis between brain, body, and environment---that is shown to drive robots to self-determined, individual development in a playful and obviously embodiment-related way: a dog-like robot starts playing with a barrier, eventually jumping or climbing over it; a snakebot develops coiling and jumping modes; humanoids develop climbing behaviors when fallen into a pit, or engage in wrestling-like scenarios when encountering an opponent. The book also develops guided self-organization, a new method that helps to make the playful machines fit for fulfilling tasks in the real world.