Autonomous Controls Laboratory

Mission Statement of the ACL

We employ methods of robust control and optimal trajectory generation towards various autonomous-system engineering applications.

Projects and Research

At the ACL, we are actively pursuing Convex Optimization, Markov Decision Processes, Model Predictive Control, and optimal trajectory generation for distributed autonomous agents.

Convex Optimization

We develop efficient robust numerical methods and software to solve convex optimization problems resulting from control applications.

Model Predictive Control

We use a model of the control system and solve relevant optimal control problems via real-time optimization algorithms.


We develop optimal trajectory generation methods for distributed autnomous agents.

Latest News From the ACL

A&A leads $1.2M NSF grant to advance autonomy through Mars missions insights.

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The ACL website is live!

We did it 🙂 Thanks guys, -Cole

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