[[TOC(Other/Summer/2022/Autonomous/*, depth=1, heading=Autonomous System Infrastructure)]]

= Autonomous System Infrastructure =
**WINLAB Summer Internship 2022**

**Group Members:** Steven Tan, Meghana Achyutananda, Anitej Thamma, Arunima Suri, Pranav Manikonda, Suhani Sengupta

https://winlabautonomous.wixsite.com/2022

== Project Objective ==

Develop a server-client infrastructure to allow for remote control of autonomous robots in the orbit smart city environment. Students will begin by setting up ROS on a robotics platform at Winlab so that they have a system to work on, with the ultimate goal of testing the autonomous driving system on the hardware developed by the smart car team at the end of the summer. In addition to working on the server-client system and measuring the latency of the system, students will research and implement different self-driving algorithms and test them with the ROS platform. Most of this work will be done using python and pytorch (a machine learning library). Students will also need to implement methods for collecting data in order to train their self-driving systems. 

== Background Material ==
This project will use Robot Operating System (ROS) and pytorch. Students should familiarize themselves with [https://wiki.ros.org/ROS/Tutorials ROS] and [https://pytorch.org/tutorials/ pytorch]. For a look at a simple self-driving system that could be implemented as a place to get started, you can read [https://developer.nvidia.com/blog/deep-learning-self-driving-cars/ this paper on machine learning for self driving]. For a better understanding of machine learning, [https://cs231n.github.io/classification/ these course notes] are a very helpful resource.