Observability-Based Energy Efficient Path Planning with Background Flow via Deep Reinforcement Learning.
Jiazhong MeiJ. Nathan KutzSteven L. BruntonPublished in: CDC (2023)
Keyphrases
- path planning
- energy efficient
- reinforcement learning
- wireless sensor networks
- mobile robot
- energy consumption
- partially observable
- sensor networks
- obstacle avoidance
- collision avoidance
- path planning algorithm
- dynamic environments
- data dissemination
- dynamic and uncertain environments
- multi robot
- motion planning
- robot path planning
- potential field
- optimal path
- markov decision processes
- autonomous vehicles
- data transmission
- state space
- multi core architecture
- path planner
- routing protocol
- path finding
- energy efficiency
- degrees of freedom
- sensor nodes
- multiple robots
- real robot
- base station
- aerial vehicles
- configuration space
- collision free
- intelligent systems
- data sets