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Learning to Track Dynamic Targets in Partially Known Environments

Jun 17, 2020
Heejin Jeong, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas

* IEEE Transaction on Robotics (under review); Demo video: https://youtu.be/0ZFyOWJ2ulo ; Source code: https://github.com/coco66/ttenv 

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BayesRace: Learning to race autonomously using prior experience

May 10, 2020
Achin Jain, Pratik Chaudhari, Manfred Morari


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Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural Network Controllers via Semidefinite Programming

Apr 16, 2020
Haimin Hu, Mahyar Fazlyab, Manfred Morari, George J. Pappas


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Computing the racing line using Bayesian optimization

Feb 12, 2020
Achin Jain, Manfred Morari


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NeurOpt: Neural network based optimization for building energy management and climate control

Jan 22, 2020
Achin Jain, Francesco Smarra, Enrico Reticcioli, Alessandro D'Innocenzo, Manfred Morari


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Large Scale Model Predictive Control with Neural Networks and Primal Active Sets

Oct 23, 2019
Steven W. Chen, Tianyu Wang, Nikolay Atanasov, Vijay Kumar, Manfred Morari


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Learning Q-network for Active Information Acquisition

Oct 23, 2019
Heejin Jeong, Brent Schlotfeldt, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas

* IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 
* IROS 2019, Video https://youtu.be/0ZFyOWJ2ulo 

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Probabilistic Verification and Reachability Analysis of Neural Networks via Semidefinite Programming

Oct 09, 2019
Mahyar Fazlyab, Manfred Morari, George J. Pappas


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Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks

Jun 12, 2019
Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas


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Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming

Mar 04, 2019
Mahyar Fazlyab, Manfred Morari, George J. Pappas


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Optimization-Based Autonomous Racing of 1:43 Scale RC Cars

Nov 20, 2017
Alexander Liniger, Alexander Domahidi, Manfred Morari

* Optimal Control Applications and Methods, 36(5), 2015, pp.628-647 

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