ROS-based Off-Road AGV - Mark2

Iterations of my Mark1 Project, this time with near-bulletproof Off-Road robotic chassis, better codes, and better hardware-techs.

Better Hardwares and Techs; i.e. Off-Road Robotic Chassis. Few Nvidia Jetson Nano SBC'es for multiple Neural Networks. Multiple cameras for CVPR (Computer Vision and Perception Recognition) implementations.

Basically, the main objectives at the completion of this "Project Journey" are being able to "learn and familiarise myself with the following Emerging Technologies;

- Advanced Robotics
- IoT (Internet Of Things)
- Cloud Computing Integrations
- Front-End Development
- Back-End Development
- Full-Stack Development (End2End)
- Deep Learning
- Machine Learning
- Computer Vision and Perception Recognition
- Artificial Intelligence (AI)

To dos:

1. Find and buy, 4 new "torquey-er DC Geared Motors". Probably with a minimum of 10kgf.cm load torque and a minimum of 35kgf.cm stalled torque.

2. Find and buy, 4 new "metal wheel rims" with bead locks.

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While waiting for the replacement parts. It's time to evaluate and learn what "Edge AI" compute devices can do like the Nvidia Jetson Nano.