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» Using Stochastic Grammars to Learn Robotic Tasks
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ECAI
2000
Springer
14 years 29 days ago
Autonomous Environment and Task Adaptation for Robotic Agents
This paper investigates the problem of improving the performance of general state-of-the-art robot control systems by autonomously adapting them to specific tasks and environments...
Michael Beetz, Thorsten Belker
ICRA
2009
IEEE
138views Robotics» more  ICRA 2009»
14 years 3 months ago
Which landmark is useful? Learning selection policies for navigation in unknown environments
Abstract— In general, a mobile robot that operates in unknown environments has to maintain a map and has to determine its own location given the map. This introduces significant...
Hauke Strasdat, Cyrill Stachniss, Wolfram Burgard
DAGSTUHL
2007
13 years 10 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
CMSB
2004
Springer
14 years 2 months ago
Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Ensemble Methods
In this paper we present a methodology to estimate rates of enzymatic reactions in metabolic pathways. Our methodology is based on applying stochastic logic learning in ensemble le...
Huma Lodhi, Stephen Muggleton
TROB
2010
159views more  TROB 2010»
13 years 3 months ago
Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
Ales Ude, Andrej Gams, Tamim Asfour, Jun Morimoto