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.

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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.

Swarms

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.

https://www.aa.washington.edu/news/article/2019-11-26/aa-leads-nsf-grant-to-advance-autonomy

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The ACL website is live!

We did it 🙂 Thanks guys, -Cole

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