Reinforcement Learning Enables Real-Time Planning and Control of Agile Maneuvers for Soft Robot Arms.
Rianna M. JitoshoTyler Ga Wei LumAllison M. OkamuraC. Karen LiuPublished in: CoRL (2023)
Keyphrases
- real time
- robot control
- autonomous vehicles
- reinforcement learning
- control signals
- control system
- robotic control
- mobile robot
- vision system
- control loop
- robot teams
- action selection
- path planning
- autonomous robots
- formation control
- motion planning
- optimal control
- control problems
- obstacle avoidance
- control strategy
- robot behavior
- visual servoing
- control architecture
- robotic systems
- goal directed
- visual feedback
- data acquisition
- motion control
- robotic arm
- control law
- planning problems
- hand eye
- collision free
- real robot
- perceptual aliasing
- aerial vehicles
- control center
- multiple robots
- learning algorithm
- end effector
- real environment
- state space
- changing environment
- model free
- human robot interaction
- multi agent
- dynamic programming
- closed loop
- humanoid robot
- deterministic domains
- robot navigation
- human operators
- sensory motor
- modular robots
- partially observable
- outdoor environments
- robot manipulators