Learning situation-dependent costs: Improving planning from probabilistic robot execution.
Karen Zita HaighManuela M. VelosoPublished in: Robotics Auton. Syst. (1999)
Keyphrases
- motion planning
- plan execution
- plan generation
- mobile robot
- goal directed
- navigation tasks
- autonomous robots
- probabilistic planning
- robot navigation
- world model
- planning problems
- multiple robots
- robot teams
- multi robot
- humanoid robot
- robotic systems
- concurrent execution
- generative model
- human robot interaction
- expected cost
- blocks world
- probabilistic model
- bayesian networks
- robot manipulators
- collision free
- robotic arm
- reactive planning
- durative actions
- simulated robot
- robot arm
- planning process
- path planning
- decision support
- vision system
- real time
- mobile robotics
- robot control
- action selection
- plan recognition
- decision theoretic
- temporal constraints
- dynamic environments
- robotic tasks