Applying Deep Reinforcement Learning to Cable Driven Parallel Robots for Balancing Unstable Loads: A Ball Case Study.
Alex GrimshawJohn OyekanPublished in: Frontiers Robotics AI (2020)
Keyphrases
- case study
- reinforcement learning
- robot control
- robotic control
- mobile robot
- data driven
- real robot
- parallel processing
- cooperative
- multi robot
- state space
- load balancing
- autonomous robots
- function approximation
- real world
- human robot
- multi agent
- model free
- parallel implementation
- robotic systems
- lessons learned
- massively parallel
- markov decision processes
- response time
- dynamic response
- parallel computing
- human robot interaction
- action selection
- path planning
- distributed memory
- transfer learning
- parallel programming
- multi robot systems
- robotic agents
- dynamic programming