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» Learning minimal abstractions
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83
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ICRA
2007
IEEE
148views Robotics» more  ICRA 2007»
15 years 7 months ago
Seamless Execution of Action Sequences
— One of the most notable and recognizable features of robot motion is the abrupt transitions between actions in action sequences. In contrast, humans and animals perform sequenc...
Freek Stulp, Wolfram Koska, Alexis Maldonado, Mich...
97
Voted
IJCNN
2007
IEEE
15 years 7 months ago
Adaptive Dynamic Modularity in a Connectionist Model of Context-Dependent Idea Generation
Abstract— Cognitive control - the ability to produce appropriate behavior in complex situations - is a fundamental aspect of intelligence. It is increasingly evident that this co...
Simona Doboli, Ali A. Minai, Vincent R. Brown
IROS
2007
IEEE
92views Robotics» more  IROS 2007»
15 years 7 months ago
Learning-enhanced market-based task allocation for oversubscribed domains
Abstract— This paper presents a learning-enhanced marketbased task allocation approach for oversubscribed domains. In oversubscribed domains all tasks cannot be completed within ...
Edward Gil Jones, M. Bernardine Dias, Anthony Sten...
103
Voted
IROS
2007
IEEE
146views Robotics» more  IROS 2007»
15 years 7 months ago
Capturing robot workspace structure: representing robot capabilities
— Humans have at some point learned an abstraction of the capabilities of their arms. By just looking at the scene they can decide which places or objects they can easily reach a...
Franziska Zacharias, Christoph Borst, Gerd Hirzing...
ROMAN
2007
IEEE
127views Robotics» more  ROMAN 2007»
15 years 7 months ago
Incremental on-line hierarchical clustering of whole body motion patterns
Abstract— This paper describes a novel algorithm for autonomous and incremental learning of motion pattern primitives by observation of human motion. Human motion patterns are ed...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura