Probabilistic mapping of dynamic obstacles using Markov chains for replanning in dynamic environments.
Florian RohrmüllerMatthias AlthoffDirk WollherrMartin BussPublished in: IROS (2008)
Keyphrases
- dynamic environments
- markov chain
- collision free
- steady state
- finite state
- autonomous agents
- path planning
- state space
- markov processes
- mobile robot
- markov process
- stationary distribution
- transition probabilities
- markov model
- stochastic process
- monte carlo method
- plan execution
- collision avoidance
- potential field
- probabilistic automata
- changing environment
- random walk
- probabilistic model
- highly dynamic environments
- bayesian networks
- assemble to order systems
- real environment
- random fields
- weighted sums
- reinforcement learning