Agricultural Robot

Agricultural robots are being developed to automate various farming tasks, improving efficiency and precision in crop management. Current research emphasizes autonomous navigation using computer vision, including deep learning models for tasks like crop row detection, weed identification, and path planning, often incorporating RGB-D cameras and non-linear model predictive control. These advancements are crucial for optimizing resource use (e.g., reducing pesticide application) and addressing labor shortages in agriculture, with ongoing work focusing on robust systems adaptable to diverse field conditions and effective human-robot interaction.