US20250388348
2025-12-25
Performing operations; transporting
B64U10/40
The patent application introduces insect-like robots powered by generative artificial intelligence (Gen-AI), aimed at addressing pressing issues in agriculture and environmental monitoring. These robotic entities, resembling bees, mantises, and dragonflies, are designed to autonomously perform vital tasks such as pollination, pest control, and detailed inspection of farmland. The robots are equipped with components like high-resolution cameras, communication antennae, and photovoltaic wings, which enable sustainable operations. AI models process data from various sensors, providing real-time guidance and control, thus enhancing agricultural productivity and sustainability.
Precision agriculture is a modern farming approach leveraging technology and data analysis to optimize agricultural output. It involves using GPS, sensors, drones, and robotics to monitor and manage fields with high accuracy. This method allows for targeted interventions in areas like pest control, reducing the need for widespread pesticide use and promoting organic farming. By applying resources such as water and fertilizers precisely where needed, precision agriculture boosts crop yields, conserves resources, and minimizes environmental impact, supporting sustainable and profitable farming practices.
Insect-like robots are advanced micro-machines designed to mimic the structure and functions of insects such as bees, mantises, and dragonflies. With the advancement of large language models (LLM) and Gen-AI, these robots can be trained to perform tasks using visual and textual data. They are capable of flying and executing tasks like pollination, environmental monitoring, and pest control. The patent describes innovative insect-like robots with embodied AI, showcasing their potential in agricultural and environmental applications.
Robotic bees are designed to address the decline in natural bee populations, which threatens food security. These bee-like robots, equipped with embodied AI, offer an efficient solution for large-scale agricultural pollination. The robots feature components such as high-resolution cameras, communication antennae, and photovoltaic wings for sustainable energy harvesting. They autonomously navigate fields, performing precise pollination tasks, thus enhancing crop yields and quality while mimicking the behavior of real bees in various agricultural settings.
Robotic bees utilize advanced sensory and actuator systems to accurately identify and pollinate flowers. Their wings, made of thin-film photovoltaic solar materials, allow them to harvest solar energy, ensuring a sustainable power supply for extended operations. These robots autonomously navigate agricultural fields, avoiding obstacles and precisely targeting flowers for effective cross-pollination. By adapting to different environmental conditions, robotic bees provide a scalable and reliable solution to the challenges posed by declining natural pollinator populations, enhancing the sustainability and productivity of modern agriculture.