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» Planning, Execution and Learning in a Robotic Agent
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AI
2006
Springer
14 years 11 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
IROS
2008
IEEE
117views Robotics» more  IROS 2008»
15 years 6 months ago
Towards a cognitive robot that uses internal rehearsal to learn affordance relations
—This paper introduces a new approach to develop robots that can learn general affordance relations from their experiences. Our approach is a part of larger efforts to develop a ...
Erdem Erdemir, Carl B. Frankel, Kazuhiko Kawamura,...
IJCAI
1997
15 years 1 months ago
Reasoning about Concurrent Execution Prioritized Interrupts, and Exogenous Actions in the Situation Calculus
As an alternative to planning, an approach to highlevel agent control based on concurrent program execution is considered. A formal definition in the situation calculus of such a ...
Giuseppe De Giacomo, Yves Lespérance, Hecto...
AGENTS
2000
Springer
15 years 4 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
ATAL
2009
Springer
15 years 26 days ago
Efficient physics-based planning: sampling search via non-deterministic tactics and skills
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
Stefan Zickler, Manuela M. Veloso