Q-learning-based navigation for mobile robots in continuous and dynamic environments.
Abderraouf MaoudjAnders Lyhne ChristensenPublished in: CASE (2021)
Keyphrases
- dynamic environments
- potential field
- mobile robot
- obstacle avoidance
- path planning
- indoor environments
- autonomous navigation
- unknown environments
- single agent
- agent systems
- collision free
- outdoor environments
- navigation tasks
- real environment
- autonomous agents
- mobile robotics
- collision avoidance
- highly dynamic environments
- real robot
- multi robot
- autonomous robots
- simultaneous localization and mapping
- topological map
- autonomous systems
- learning algorithm
- cooperative
- reinforcement learning algorithms
- action space
- path planner
- real time
- continuous state spaces
- state space
- motor control
- sensory information
- robotic systems
- adaptive control