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» The Computational Complexity of Probabilistic Planning
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DCG
1998
53views more  DCG 1998»
13 years 10 months ago
Motion Planning in Environments with Low Obstacle Density
We present a simple and e cient paradigm for computing the exact solution of the motionplanning problem in environments with a low obstacle density. Such environments frequently o...
A. Frank van der Stappen, Mark H. Overmars, Mark d...
AMAI
2004
Springer
14 years 4 months ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
ICRA
2003
IEEE
125views Robotics» more  ICRA 2003»
14 years 4 months ago
Online footstep planning for humanoid robots
We present an online algorithm for planning sequences of footstep locations that encode goal-directed navigation strategies for humanoid robots. Planning footsteps is more general...
James J. Kuffner Jr., Satoshi Kagami, Koichi Nishi...
AIPS
2007
14 years 1 months ago
Context-Aware Logistic Routing and Scheduling
In context-aware route planning, agents have to plan their route on a common infrastructure in such a way that plans made by other agents are not invalidated, and no conflicts ar...
Adriaan ter Mors, Jonne Zutt, Cees Witteveen
ICRA
2007
IEEE
138views Robotics» more  ICRA 2007»
14 years 5 months ago
Where's Waldo? Sensor-Based Temporal Logic Motion Planning
— Given a robot model and a class of admissible environments, this paper provides a framework for automatically and verifiably composing controllers that satisfy high level task...
Hadas Kress-Gazit, Georgios E. Fainekos, George J....