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KR
2004
Springer
15 years 2 months ago
Learning Probabilistic Relational Planning Rules
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...
AINA
2010
IEEE
15 years 2 months ago
Mobile Element Path Planning for Time-Constrained Data Gathering in Wireless Sensor Networks
— We consider the problem of gathering data from a sensor network using mobile elements. In particular, we consider the case where the data are produced by measurements and need ...
Khaled Almiani, Anastasios Viglas, Lavy Libman
IJRR
2008
151views more  IJRR 2008»
14 years 9 months ago
Trajectory Optimization using Reinforcement Learning for Map Exploration
Automatically building maps from sensor data is a necessary and fundamental skill for mobile robots; as a result, considerable research attention has focused on the technical chall...
Thomas Kollar, Nicholas Roy
ICRA
2005
IEEE
118views Robotics» more  ICRA 2005»
15 years 3 months ago
Haptic Rendering of Topological Constraints to Users Manipulating Serial Virtual Linkages
— This paper presents an approach for haptic rendering of topological constraints to users operating serial virtual linkages. In the proposed approach, a haptic device controller...
Daniela Constantinescu, S. E. Salcudean, Elizabeth...
AAAI
2004
14 years 11 months ago
Analogical Path Planning
We present a probabilistic method for path planning that considers trajectories constrained by both the environment and an ensemble of restrictions or preferences on preferred mot...
Saul Simhon, Gregory Dudek