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SAC
2009
ACM
14 years 2 months ago
Dynamic planning and weaving of dependability concerns for self-adaptive ubiquitous services
Ubiquitous computing and service-oriented computing enable the development of a new trend of applications that can opportunely interact with services discovered in the surrounding...
Romain Rouvoy, Frank Eliassen, Mikaël Beauvoi...
NIPS
2004
13 years 9 months ago
Schema Learning: Experience-Based Construction of Predictive Action Models
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
Michael P. Holmes, Charles Lee Isbell Jr.
TSMC
1998
82views more  TSMC 1998»
13 years 7 months ago
To push or not to push: on the rearrangement of movable objects by a mobile robot
—We formulate and address the problem of planning a pushing manipulation by a mobile robot which tries to rearrange several movable objects in its work space. We present an algor...
Ohad Ben-Shahar, Ehud Rivlin
ECAI
2010
Springer
13 years 8 months ago
Learning action effects in partially observable domains
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Kira Mourão, Ronald P. A. Petrick, Mark Ste...
AAMAS
2005
Springer
14 years 1 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