Building AI agents for hardware engineering

Real-time multi-agent coordination and scheduling for robotic order fulfillment

• Modeled road networks and traffic flow for vehicle control and traffic simulation based on real-world data

• Conducted real-world testing and data collection of MPC-based fuel reducing adaptive cruise control

• Filtered and analyzed test data to find trends between controller conservatism and fuel consumption

• Developed and implemented Learning Model Predictive Controller for fuel reduction of autonomous vehicles repeatedly travelling along same trajectory

• Developed Hardware-in-the-Loop simulation platform used by the lab for quickly testing and tuning control algorithms using simulated data and test vehicle hardware

Vehicle Dynamics and Control (Spring 2020)

Prof. Francesco Borrelli

Feedback Control Systems (Spring 2020)

Prof. Somayeh Sojoudi