The Algorithms, Optimization, and Control Lab (AOCL) at UBC conducts research at the intersection of control, optimization, and computing. We apply control, optimization, game-theory and machine learning to solve problems in energy, manufacturing, robotics, and aerospace. 

Current research in the lab involves:

• Model Predictive Control
• Multi-agent Control and Algorithmic Game Theory
• Real-time, Embedded, and Distributed Optimization
• Iterative Learning Control

with applications in energy, manufacturing, and robotics including:

• Large-scale Infrastructure (e.g., energy, buildings, transport, logistics)
• Autonomous Vehicles and Multi-agent Robotics
• Additive Manufacturing (3D printers)