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» Semantic Based Learning of Syntax in an Autonomous Robot
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133
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ECAI
2006
Springer
15 years 5 months ago
Semantic Tree Kernels to Classify Predicate Argument Structures
Recent work on Semantic Role Labeling (SRL) has shown that syntactic information is critical to detect and extract predicate argument structures. As syntax is expressed by means of...
Alessandro Moschitti, Bonaventura Coppola, Daniele...
IROS
2008
IEEE
141views Robotics» more  IROS 2008»
15 years 8 months ago
Active sensing based dynamical object feature extraction
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...
Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun...
110
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AGENTS
2000
Springer
15 years 6 months ago
Unsupervised clustering of robot activities: a Bayesian approach
Our goal is for robots to learn conceptual systems su cient for natural language and planning. The learning should be autonomous, without supervision. The rst steps in building a ...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
96
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AAMAS
2005
Springer
15 years 7 months ago
Experiments in Subsymbolic Action Planning with Mobile Robots
The ability to determine a sequence of actions in order to reach a particular goal is of utmost importance to mobile robots. One major problem with symbolic planning approaches re...
John Pisokas, Ulrich Nehmzow
ATAL
2006
Springer
15 years 5 months ago
Multi-robot learning with particle swarm optimization
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...
Jim Pugh, Alcherio Martinoli