Agricultural Robotics

Agricultural robotics aims to automate labor-intensive tasks in farming, increasing efficiency and sustainability in food production. Current research heavily focuses on improving robot perception and navigation in unstructured environments using computer vision techniques (e.g., YOLOv5, SLAM algorithms, and transformer-based models) and advanced sensor fusion (combining LiDAR, RGB, and IMU data). These advancements are crucial for enabling precise operations like fruit harvesting, weed removal, and crop monitoring, ultimately impacting food security and addressing labor shortages in the agricultural sector.