An information-theoretic-based evolutionary approach for the dynamic search path planning problem.
Mohamed BarkaouiJean BergerAbdeslem BoukhtoutaPublished in: ICALT (2014)
Keyphrases
- information theoretic
- path planning
- dynamic environments
- information theory
- mobile robot
- mutual information
- path planning algorithm
- dead ends
- collision avoidance
- path finding
- theoretic framework
- search algorithm
- collision free
- motion planning
- jensen shannon divergence
- optimal path
- obstacle avoidance
- multi robot
- potential field
- information bottleneck
- log likelihood
- autonomous vehicles
- degrees of freedom
- dynamic and uncertain environments
- robot path planning
- kullback leibler divergence
- relative entropy
- genetic algorithm
- minimum description length
- jensen shannon
- entropy measure
- indoor environments
- information theoretic measures
- aerial vehicles
- configuration space
- search methods
- path planner
- autonomous navigation
- probability distribution