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ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
15 years 3 months ago
Using Reinforcement Learning to Improve Exploration Trajectories for Error Minimization
Abstract— The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate sim...
Thomas Kollar, Nicholas Roy
ICRA
2009
IEEE
176views Robotics» more  ICRA 2009»
15 years 4 months ago
Path planning in 1000+ dimensions using a task-space Voronoi bias
— The reduction of the kinematics and/or dynamics of a high-DOF robotic manipulator to a low-dimension “task space” has proven to be an invaluable tool for designing feedback...
Alexander C. Shkolnik, Russ Tedrake
IROS
2008
IEEE
142views Robotics» more  IROS 2008»
15 years 3 months ago
Probabilistic mapping of dynamic obstacles using Markov chains for replanning in dynamic environments
— Robots acting in populated environments must be capable of safe but also time efficient navigation. Trying to completely avoid regions resulting from worst case predictions of...
Florian Rohrmüller, Matthias Althoff, Dirk Wo...
RAS
2006
123views more  RAS 2006»
14 years 9 months ago
Planning exploration strategies for simultaneous localization and mapping
In this paper, we present techniques that allow one or multiple mobile robots to efficiently explore and model their environment. While much existing research in the area of Simul...
Benjamín Tovar, Lourdes Muñoz-G&oacu...
ICRA
2003
IEEE
150views Robotics» more  ICRA 2003»
15 years 2 months ago
i-Fork: a flexible AGV system using topological and grid maps
- In this paper we describe the navigation and planning of the i-Fork system, a flexible AGV intended to operate in partially structured warehouses where frequent floor plant layou...
Humberto Martínez Barberá, Juan Petr...