Enabling High-Speed Autonomous Racing Through Real-Time Predictive Control

  • Project Year: 2025-26
  • Departments Represented: MEng
  • Industry/Track: Robotics, Aerospace, or Automotive Advancements

We are developing a real-time Model Predictive Control (MPC) system for autonomous racing in the Indy Autonomous Challenge. From offline code generation through on-car solving, the entire pipeline is designed to meet a hard deadline per control cycle. Validation spans unit tests, software-in-the-loop simulation on dSPACE, and physical track testing at Putnam Park.

  • Advisor(s): Allen Yang
  • Team: Sharaf Hossain [ME], Diego Vangeneugden [ME], Evan Shaffer [ME], Wenjie Ni [ME], Parham Sharafoleslami [ME]