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ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
14 years 2 months ago
Least absolute policy iteration for robust value function approximation
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashim...
ICRA
2010
IEEE
136views Robotics» more  ICRA 2010»
13 years 6 months ago
A fast and frugal method for team-task allocation in a multi-robot transportation system
Abstract— In this paper we present two task-allocation strategies for a multi-robot transportation system. The first strategy is based on a centralized planner that uses domain ...
Jens Wawerla, Richard T. Vaughan
CORR
2002
Springer
113views Education» more  CORR 2002»
13 years 7 months ago
Robust Global Localization Using Clustered Particle Filtering
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
Javier Nicolás Sánchez, Adam Milstei...
LPAR
2001
Springer
14 years 7 days ago
Local Conditional High-Level Robot Programs
When it comes to building robot controllers, highlevel programming arises as a feasible alternative to planning. The task then is to verify a high-level program by finding a lega...
Sebastian Sardiña
MVA
1990
131views Computer Vision» more  MVA 1990»
13 years 9 months ago
Recognition and Relocation of 3-Dimensional Objects Using Stereo Robot Vision System
An important task in sterco robot vision is to determine the three-dimcnsional locations of objects. The real location of an object is determined from the disparity of matched pin...
Kyoung Mihn Do, Chee-Woo Kang, Kwae-Hi Lee