Hybrid Charging Station for Autonomous Robot Using Real Time Kinematics

Abstract

This thesis proposes a hybrid charging station for autonomous robots using real time kinematics. In this project, solar panels are connected with battery energy storage through a solar charger inverter to supply power for charging an autonomous robot and providing power for other peripherals in the charging station. RTKsimple developer kit was connected to the station to ensure easier tracking of the station by the robot. Artificial intelligence tool (Nvidia Jetson Nano) was implemented to regulate a debugging board (using Altium designer) for light indications for charging status of the robot battery. Experiment was done with the programmed AI tool connected to the debugging board for verification.