Motion Planning in Uncertain Environments with Rapidly-Exploring Random Markov Decision Processes.
Alex RutherfordPaul DuckworthNick HawesBruno LacerdaPublished in: ECMR (2021)
Keyphrases
- markov decision processes
- motion planning
- uncertain environments
- multi robot
- path planning
- mobile robot
- degrees of freedom
- autonomous systems
- optimal policy
- finite state
- state space
- policy iteration
- reinforcement learning
- transition matrices
- humanoid robot
- planning under uncertainty
- decision theoretic planning
- infinite horizon
- obstacle avoidance
- partially observable
- markov decision process
- dynamic programming
- robotic systems
- learning algorithm
- average cost
- climbing robot
- behavior recognition
- autonomous robots
- control strategy
- video sequences
- computer vision