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ICRA
1995
IEEE
86views Robotics» more  ICRA 1995»
13 years 8 months ago
Motion Planning with Uncertainty: The Information Space Approach
Jérôme Barraquand, Pierre Ferbach
RSS
2007
136views Robotics» more  RSS 2007»
13 years 6 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...
IJRR
2011
130views more  IJRR 2011»
12 years 8 months ago
LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information
— This paper presents LQG-MP (linear-quadratic Gaussian motion planning), a new approach to robot motion planning that takes into account the sensors and the controller that will...
Jur van den Berg, Pieter Abbeel, Ken Goldberg
ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
13 years 11 months ago
A Bayesian framework for optimal motion planning with uncertainty
— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...
IJRR
2011
218views more  IJRR 2011»
12 years 12 months ago
Motion planning under uncertainty for robotic tasks with long time horizons
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...