In this theme, teams developed an autonomous smart farm management system using a UR5 robotic arm and eBot (mobile robot). The UR5 autonomously handled fertilizer containers by placing them onto the mobile robot and disposing of empty containers, while also performing vision-based inspection of harvested produce on a conveyor to identify and remove defective fruits. The mobile robot navigated the farm environment using LiDAR-based autonomous navigation, identified plant conditions using geometric structures placed, and delivered fertilizer where required. It returned to the robotic arm for container exchange. The system required coordinated integration of perception, autonomous navigation, and robotic manipulation to achieve efficient and reliable operation.<\/p>\r\n
In stage 1 of the competition, teams implemented this theme in a simulator (Gazebo), and in stage 2, they got remote access to perform the task on real industrial hardware consisting of a UR5 robotic arm and eBot deployed at IIT Bombay.<\/p>","theme_learning":"Robot Operating System 2 (ROS 2), Gazebo Simulator, Computer Vision, Autonomous Navigation, LiDAR-based feature detection, Joint and Velocity-based Servoing for Manipulation, RViz 2, Multi-robot collaboration, and Algorithm Development using Python and Git.","cert_level":1}
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