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XPERIENCE - Robots Bootstrapped through Learning from Experience
Published on Mar 14, 20122983 Views
Current research in enactive, embodied cognition is built on two central ideas: 1) Physical interaction with and exploration of the world allows an agent to acquire and extend intrinsically grounded,
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Chapter list
XPERIENCE - Robots Bootstrapped through Learning from Experience00:00
Xperience: Problem and Approach00:21
Main Novelty of Xperience02:32
Structural Bootstrapping02:51
Examples for Structural Bootstrapping04:24
Major Scientific Questions05:30
OACs as representations in Xperience06:50
The XPERIENCE Cognitive Architecture08:27
OACs on all levels09:51
Development and Structural Bootstrapping10:53
Learning hierarchical and probabilistic sensory-motor spaces11:49
Machine Learning techniques for exploration-based ...12:41
Finding Structure in Objects x Features x Actions12:59
Generalizing Objects by Analyzing Language ("GOAL") - 113:33
Generalizing Objects by Analyzing Language (“GOAL”) - 214:28
Pushing reflex for learning object representations15:27
Switching Motor Primitives in Collaborative Tasks15:57
Tightly-coupled physical human-robot interaction16:32
Language and planning domain16:59
Scenario: "Human Living Space"17:32
Robot Platforms in Xperience18:10
Thank you for your attention!18:27