A Bayesian tracker for synthesizing mobile robot behaviour from demonstration.
Stéphane MagnenatFrancis ColasPublished in: Auton. Robots (2021)
Keyphrases
- mobile robot
- path planning
- indoor environments
- visual tracking
- obstacle avoidance
- mobile robot navigation
- autonomous navigation
- mean shift
- dynamic environments
- unknown environments
- bayesian networks
- motion planning
- bayesian estimation
- particle filter
- motion control
- bayesian learning
- autonomous robots
- challenging sequences
- bayesian inference
- data driven
- maximum likelihood
- user behaviour
- posterior distribution
- gaussian processes
- office environment
- map building
- robot control
- mobile robotics
- multiple hypothesis
- automatic initialization
- real time
- feature tracking
- robotic systems
- computer vision
- multi robot
- cluttered environments
- posterior probability
- optical flow
- image sequences
- image segmentation
- robot programming
- object tracking algorithm
- bayesian decision
- learning algorithm