An embodiment establishes a potential energy source database based at least in part on sensor data received from a satellite, wherein the potential energy source database comprises coordinate data representative of a plurality of potential energy source locations. The embodiment instructs a robot to travel to a potential energy source location of the plurality of potential energy source locations. The embodiment scans the potential energy source location for a potential energy source. The embodiment detects the potential energy source in the potential energy source location. The embodiment evaluates whether the potential energy source meets a predetermined suitability criteria. The embodiment classifies the potential energy source as a suitable energy source. The embodiment instructs the robot to insert a pair of electrodes into the suitable energy source to generate an electrical current to charge a battery of the robot.

This invention relates to insect-like robots empowered by generative artificial intelligence (Gen-AI), specifically designed to address critical challenges in agriculture and environmental monitoring. The robotic bee, mantis, and dragonfly can autonomously perform essential tasks such as crop pollination, pest control, and detailed farmland inspection. These robots feature lifelike designs with components such as heads with integrated high-resolution cameras, antennae for communication, specialized mouthparts, thoraxes housing CPUs and actuators, and wings with thin-film photovoltaic solar materials. The AI models function as the brains, processing data captured by various sensors to provide real-time guidance and control commands. Leveraging advanced technologies and sustainable power sources, these robotic insect-like robots enhance productivity, sustainability, and efficiency in agricultural practices, contributing to a more secure and eco-friendly future.