6 search results - page 1 / 2 » LQG-MP: Optimized path planning for robots with motion uncer... |
IJRR
2011
12 years 8 months ago
2011
— 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...
ICRA
2008
IEEE
13 years 11 months ago
2008
IEEE
— 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...
RSS
2007
13 years 6 months ago
2007
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
RSS
2007
13 years 6 months ago
2007
— 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 ...
IROS
2006
IEEE
13 years 11 months ago
2006
IEEE
– Active SLAM poses the challenge for an autonomous robot to plan efficient paths simultaneous to the SLAM process. The uncertainties of the robot, map and sensor measurements, a...