MultiROS: ROS-Based Robot Simulation Environment for Concurrent Deep Reinforcement Learning.
Jayasekara KapukotuwaBrian LeeDeclan DevineYuansong QiaoPublished in: CASE (2022)
Keyphrases
- simulation environment
- reinforcement learning
- real robot
- robot control
- mobile robot
- virtual space
- hierarchical reinforcement learning
- autonomous learning
- perceptual aliasing
- human robot interaction
- simulation model
- function approximation
- path planning
- vision system
- simulation tool
- autonomous robots
- robotic arm
- visual servoing
- multi robot
- service robots
- simulation tools
- simulated robot
- robotic control
- robot soccer
- mobile robotics
- action selection
- learning algorithm
- humanoid robot
- real time
- markov decision processes
- optimal control
- optimal policy
- neural network
- machine learning
- multi agent
- modular robots
- search and rescue
- robot manipulators
- model free
- robot navigation
- robotic systems
- robot arm
- multiple robots
- state space
- function approximators
- dynamic programming
- motion planning
- learning process
- position and orientation
- agent learns
- formation control
- obstacle avoidance