ANT Robot (Autonomous Neural Trainer) For EdTech

Inspiration

How to build your own Neural Network to train a Robot to move and the sample application can train school children to learn not just about AI or NN but to add those skills on a Robot

What it does

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

How I built it

Using open source components easily available in the market stores

Challenges I ran into

None

Accomplishments that I'm proud of

Able to attract 100's of school children interest to learn about AI-Robotics

What I learned

Patients is the key

What's next for ANT Robot (Autonomous Neural Trainer) For EdTech

Build a comprehensive AI-Robotics kits for not just school children but for all agea group and easily affordable

Built With

• opencv
• python