A probabilistic abstraction approach for planning and controlling mobile robots.
Marius KloetzerCristian MahuleaOctavian PastravanuPublished in: ETFA (2011)
Keyphrases
- mobile robot
- motion planning
- probabilistic planning
- multiple robots
- path planning
- decision theoretic planning
- navigation tasks
- indoor environments
- abstraction hierarchy
- planning problems
- generative model
- unknown environments
- obstacle avoidance
- high level
- dynamic environments
- multi robot
- heuristic search
- data driven
- collision avoidance
- mobile robotics
- mixed initiative
- probabilistic model
- bayesian networks
- macro actions
- autonomous robots
- path planner
- goal oriented
- degrees of freedom
- robotic systems
- motion control
- learning algorithm
- plan generation
- planning process
- simultaneous localization and mapping
- autonomous navigation
- robot control
- probabilistic logic
- markov decision processes
- ai planning
- uncertain data