MIT Students Get a Taste of Programming for Autonomous Vehicles

Every January for four weeks MIT students, faculty, staff and alumni have the chance to partake of "independent activities period" where they get to try out lectures series, how-to sessions, contests and other activities that strike their fancy. This January, a joint program offered by the Department of Aeronautics and Astronautics (AeroAstro) and Lincoln Laboratory gave participants an opportunity to learn how to program autonomous algorithms for driving cars without human intervention. The cars happened to be 1:10 scale, and the riskiest dangers they really faced were running into bystanders or the walls of MIT's subterranean tunnels, a network of passages that connects almost every building on campus.

Each team of four students was given an electric car with an on-board computer and a sensor suite. They attended seven lectures on algorithm robotics, including coverage of the robot operating system; algorithmic robotics, such as sensing, perception, control and planning algorithms; and case studies. Then they set to work preparing for the "Rapid Autonomous Complex-Environment Competing Ackermann-steering Robot (RACECAR)" race in a two-day hackathon. Their job was to build the software that would power the fastest robotic car in a friendly competition.

The robotic cars were modified to accept onboard control of steering and throttle actuators. Sensors perceived motion and the environment. The on-board computer running the student-coded algorithms and other software drivers — an NVIDIA Jetson Tegra K1 — processed the data generated by the sensors.

When race day arrived, three of four teams successfully completed the 515-foot course. The time of the fastest car was 49.64 seconds, about 7.1 mph.

According to the instructors, one reason to hold the course was to enhance embedded systems and robotics education at MIT. They're considering a repeat of the class in 2016, with the possibility of expanding the autonomous vehicle racecourse to a larger section of the institute's tunnel network.

About the Author

Dian Schaffhauser is a former senior contributing editor for 1105 Media's education publications THE Journal, Campus Technology and Spaces4Learning.

Featured

  • Businessman holding Chatbot with binary code, message and data 3d rendering

    Anthropic Criticizes OpenAI Ad Strategy

    Anthropic recently launched a multi-million dollar Super Bowl advertising campaign criticizing OpenAI's decision to start showing ads within ChatGPT.

  • businessman holding tablet with holographic AI icons

    Google Moves AI Agents into the Mainstream

    At its recent I/O developer conference, Google presented artificial intelligence agents not as a distant research project, but as a product strategy spanning Search, personal assistants, productivity software, developer tools, and smart glasses.

  • programming code and digital gears

    NVIDIA Intros Open Source Tools for Building and Deploying AI Agents

    At its recent GTC 2026 conference, NVIDIA rolled out a new open source software package designed to help organizations build, deploy, and manage AI agents.

  • AI logo near computer equipment

    White House Releases National Policy Framework for AI

    The White House has released a four-page AI policy framework aimed at setting a national approach to AI, with priorities including child safety, intellectual property protections, truth and accuracy guardrails, and worker training for an AI-driven economy.