Deep-Reinforcement-Learning-Based Semantic Navigation of Mobile Robots in Dynamic Environments.
Linh KästnerCornelius MarxJens LambrechtPublished in: CASE (2020)
Keyphrases
- dynamic environments
- mobile robot
- reinforcement learning
- obstacle avoidance
- indoor environments
- autonomous navigation
- potential field
- path planning
- real robot
- unknown environments
- navigation tasks
- collision free
- robot control
- outdoor environments
- reinforcement learning algorithms
- reinforcement learning agents
- autonomous agents
- collision avoidance
- motion planning
- autonomous robots
- function approximation
- multi robot
- natural language
- autonomous systems
- adaptive control
- single agent
- agent systems
- robot navigation
- autonomous vehicles
- robotic systems
- highly dynamic environments
- sensory information
- simultaneous localization and mapping
- real environment
- markov decision processes
- changing environment
- model free
- reinforcement learning methods
- domain independent
- optimal policy
- state space
- mobile robotics
- machine learning