State Estimation for Mobile Robot using Partially Observable Markov Decision Process.
Dae-Hee KangHideki HashimotoFumio HarashimaPublished in: J. Robotics Mechatronics (1996)
Keyphrases
- state estimation
- mobile robot
- partially observable markov decision process
- decision theoretic
- state space
- particle filter
- partially observable
- belief state
- kalman filter
- obstacle avoidance
- dynamic systems
- multi agent
- path planning
- particle filtering
- partially observable markov decision processes
- kalman filtering
- dynamic environments
- visual tracking
- reinforcement learning
- planning under uncertainty
- decision problems
- object tracking
- map building
- mean shift
- generative model
- markov decision processes
- higher order
- dynamical systems
- multi agent systems
- search algorithm