Overview
This course will do an intense dive into the latest computer vision and AI techniques as related to robotics, and then use their newfound knowledge to program the trajectory of a heavy duty mobile robot based upon what it sees in real-time. This course is highly recommended for students interested in exploring a career in robotics.
 
Description
- OpenCV computer vision library
- ROS Robot Operating System
- Train an AI model using Transformers, (the T in GPT)
- Learn the differences between traditional AI techniques like CNNs and RNNs, vs the more recent breakthrough Transformer technology
- Deep dive and usage of Fiduciary positioning markers for mobile robotics
- Deep Learning frameworks applied to computer vision
- 3D image acquisition and representation
- 3D image understanding and algorithms
- Python
- C++
- Linux
 - GPUs

Prerequisites
Basic knowledge of python, algebra, computer science is necessary to participate in this session. If you are registering as part of Genesis Track, then these topics will be covered sufficiently before this session begins.
 
Social Distancing Policy
We have worked hard to create a safe setup that minimizes risk:
Masks are now optional
Reasonable social distancing will be encouraged and unnecessary huddling will be discouraged
We recommend each student bring their own water bottle.
 
What To Bring
Each student must bring his/her own Mac, Windows, or Linux laptop with sufficient free disk space and administrative rights to install the virtual machines and associated software.
A USB-C to USB adapter if your laptop contains only the new USB-C ports