Deep Reinforcement Learning for End-to-End Local Motion Planning of Autonomous Aerial Robots in Unknown Outdoor Environments: Real-Time Flight Experiments.
Oualid DoukhiDeok-Jin LeePublished in: Sensors (2021)
Keyphrases
- end to end
- outdoor environments
- mobile robot
- motion planning
- autonomous navigation
- robotic systems
- reinforcement learning
- path planning
- real robot
- multi robot
- indoor environments
- robot control
- real time
- unknown environments
- obstacle avoidance
- dynamic environments
- humanoid robot
- autonomous robots
- simultaneous localization and mapping
- manipulation tasks
- congestion control
- mobile robotics
- text localization and recognition
- control law
- collision free
- degrees of freedom
- autonomous vehicles
- robotic arm
- robot motion
- visual servoing
- surveillance system
- collision avoidance
- state space