About this document
Reinforcement Learning for UGV Field Mapping by Awaiz Adnan is a document available to read on EtoBox.
This research article presents a reinforcement learning-based method for deploying a team of unmanned ground vehicles (UGVs) to model and cover an unknown agricultural field. The proposed Dyna-Q+ algorithm allows the UGVs to cooperatively learn the environment, identify obstacles, and update a precision map in real-time. Simulation results demonstrate the effectiveness of this approach in enhancing coverage and monitoring in dynamic agricultural settings.
- Author
- Awaiz Adnan
- Language
- EN