A Computational Framework for Automatic Online Path Generation of Robotic Inspection Tasks via Coverage Planning and Reinforcement Learning.
Wei JingChun Fan GohMabaran RajaramanFei GaoSooho ParkYong LiuKenji ShimadaPublished in: IEEE Access (2018)
Keyphrases
- computational framework
- reinforcement learning
- robotic systems
- computational model
- real time
- tensor voting
- complex domains
- real robot
- function approximation
- active vision
- manipulation tasks
- online learning
- action selection
- multiple robots
- transfer learning
- mobile robot
- planning problems
- robotic tasks
- robot control
- planning tasks
- story generation
- motion planning
- path planning
- heuristic search
- state space
- multi agent
- machine learning
- belief state
- ai planning
- partially observable
- temporal difference
- autonomous robots
- collision free
- blocks world
- optimal policy
- markov decision problems
- shortest path