Welcome to the RACECAR Neo Github Org! This is a set of projects and repositories that runs the backbone of the RACECAR Neo platform, an educational autonomous robotics ecosystem created for the MIT Beaver Works Summer Institute (BWSI) Autonomous RACECAR Course.
Follow the instructions in the racecar-neo-installer repository to set up the RACECAR environment on a host computer.
The RACECAR Neo ecosystem uses a custom Python library to interface between the virtual and physical RACECAR systems. This library contains high-level functions for accessing sensor data and controlling actuators, as well as utility functions for processing sensor data. View the documentation here: racecar-neo-library
Once you have experience programming in the simulator (from Step 1) and are ready to build your own RACECAR Neo robot in the real world, check out the following resources for doing so!
- RACECAR Neo Build Guide: https://docs.google.com/document/d/1J_V5tTPnNYof71LZ0v6as9dnGRZlVsqpztZ3sM2P0_g/edit?usp=sharing
- Bill of Materials: https://docs.google.com/spreadsheets/d/1y-hgZyMMYNCkDnYXYNJg3X0pUtb3_QkP3E0WLL6mMjQ/edit?usp=sharing
- ROS2 Backend Driver for RACECAR Neo: https://github.com/MITRacecarNeo/racecar-neo-ros2-backend
All of the software provided with RACECAR Neo falls under the GPLv3 software license. For more information on what the license contains and permits, see A Quick Guide to GPLv3