This is ANT Robot (Autonomous Neural Trainer) equipped with Jetson Nano, Lidar, Intel Realsense T265 and few electronics. ANT collects the images while navigating the motion path and those collected images are classified via remote putty into ANT only once (YOLO Algorithm), the second time ANT follows the same path while detecting the classified objects and avoiding collision. SLAM is achieved via T265, images / video are captured via Picam, collision is avoided via Lidar. ANT is a expandable EdTech AI-Robotics platform for education
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