The UW Autonomous & Resilient Controls Laboratory (ARC Lab) is tackling fundamental problems in the control of autonomous systems and cyber-physical systems. Our research strives to build rigorous analytical frameworks and reliable control algorithms to enhance the safety and performance of autonomous and cyber-physical systems. Our current research directions include:
- Analysis, verification and control of learning-enabled systems
- Provably safe control design for complex systems
- Real-time, optimization-based motion planning for autonomous robots
- Vision-based control
- Sep 2023: Hang Zhang successfully passed his PhD Qualifying Examination.
- Aug 2023: Sequoyah Walters successfully defended his MS thesis “Vision-based Autonomous Landing of a Quadcopter with Field-of-view Constraints”.
- Apr 2023: ARC Lab received the Honorable Mention Award in the research group category in Engineering Expo 2023.
- Feb 2023: Prof. Xiangru Xu received National Science Foundation CAREER Award “Towards Hierarchical and Provably Safe Control for Learning-Enabled Autonomous Systems“. News from COE.
- Sep 2022: Yujie Wang successfully passed his PhD Qualifying Examination.
- Sep 2022: ARC Lab received a National Science Foundation grant “The Future of Trucking: Pathways to Positive Societal Outcomes“. News from COE.
- July 2022: ARC Lab received a National Science Foundation grant “Simulating Autonomous Agents and the Human-Autonomous Agent Interaction“. News from COE.
- May 2022: Victor Freire successfully defended his MS thesis “FlatVCP: Safe & Efficient Optimal Control of Flat Systems Based on B-Spline Optimization”.
- May 2022: ARC Lab researcher William Dong received the Hilldale Undergraduate/Faculty Fellowship. The project is about building and controlling a modular aerial-terrestrial autonomous robot. News from ME.
- Sep 2021: Yuhao Zhang successfully passed his PhD Qualifying Examination.
- April 2021: UW is selected as one of the ten teams to participate in the SAE AutoDrive Challenge II Competition. We are excited to design and integrate our own autonomous vehicle system, based on a Chevrolet Bolt EUV vehicle, into a fully autonomous vehicle over the next four years. Dr. Glenn Bower and Prof. Xiangru Xu will be the faculty advisors of the Wisconsin Team. News from ME and news from SAE.
- Sep 2019: Our paper “Correctness Guarantees for the Composition of Lane Keeping and Adaptive Cruise Control” received the IEEE Transactions on Automation Science and Engineering Best New Application Paper Award from IEEE Robotics & Automation Society. News from ME.