Autonomous Motorsports Purdue

Autonomous racing project including both software and hardware aspects, with emphasis on path planning, sensor fusion, and machine learning techniques.



The AMP student club was founded with a vision of building a strong research program for autonomous racing at Purdue. We are currently competing in the Indy Autonomous Challenge (, and our goal in this semester is to optimize a high speed (average 100 mph) autonomous racing algorithm for a simulated environment. Our team is also partnering with the United States Military Academy, West Point, and a professional racing team, whose expertise will provide valuable guidance. 


First-year students are welcome. Familiarity with the Robot Operating System (ROS), Simultaneous Localization and Mapping (SLAM) algorithms, and/or machine learning algorithms (especially deep learning) is a plus.

Meeting Times:

  • Spring 2022: Alternate Mon/Thurs 3-3:50pm, Meeting Tuesdays at 6pm, Sync Online

  • Fall 2022: TBD