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» Scheduling in a Planning Environment
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ICTAI
2000
IEEE
15 years 3 months ago
Building efficient partial plans using Markov decision processes
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Pierre Laroche
AROBOTS
1998
100views more  AROBOTS 1998»
14 years 11 months ago
Interleaving Planning and Robot Execution for Asynchronous User Requests
Rogue is an architecture built on a real robot which provides algorithms for the integration of highlevel planning, low-level robotic execution, and learning. Rogue addresses succ...
Karen Zita Haigh, Manuela M. Veloso
IROS
2006
IEEE
175views Robotics» more  IROS 2006»
15 years 6 months ago
Toward Online Probabilistic Path Replanning in Dynamic Environments
— This paper presents work on sensor-based motion planning in initially unknown dynamic environments. Motion detection and modeling are combined with a smooth navigation function...
Roland Philippsen, Björn Jensen, Roland Siegw...
ICRA
2002
IEEE
132views Robotics» more  ICRA 2002»
15 years 4 months ago
Visually Built Task Models for Robot Teams in Unstructured Environments
In field environments it is not usually possible to provide robotic systems with valid geometric models of the task and environment. The robot or robot teams will need to create t...
Vivek A. Sujan, Steven Dubowsky
IROS
2006
IEEE
100views Robotics» more  IROS 2006»
15 years 6 months ago
Toward Interactive Reaching in Static Environments for Humanoid Robots
— Reaching is a critical task for humanoid robots, requiring the application of state-of-the-art algorithms for motion planning and inverse kinematics. Practical algorithms for s...
Evan Drumwright, Victor Ng-Thow-Hing