Franck Djeumou
Cited by
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Probabilistic Swarm Guidance Subject to Graph Temporal Logic Specifications
F Djeumou, Z Xu, U Topcu
Robotics: Science and Systems (RSS), 2020
On-the-fly control of unknown smooth systems from limited data
F Djeumou, AP Vinod, E Goubault, S Putot, U Topcu
2021 American Control Conference (ACC), 3656-3663, 2021
Online synthesis for runtime enforcement of safety in multi-agent systems
D Raju, S Bharadwaj, F Djeumou, U Topcu
IEEE Transactions on Control of Network Systems, 2021
On-The-Fly Control of Unknown Systems: From Side Information to Performance Guarantees through Reachability
F Djeumou, AP Vinod, E Goubault, S Putot, U Topcu
arXiv preprint arXiv:2011.05524, 2020
Policy synthesis for switched linear systems with Markov decision process switching
B Wu, M Cubuktepe, F Djeumou, Z Xu, U Topcu
arXiv preprint arXiv:2001.00835, 2020
Safety-Constrained Learning and Control using Scarce Data and Reciprocal Barriers
CK Verginis, F Djeumou, U Topcu
arXiv preprint arXiv:2105.06526, 2021
Blending Controllers via Multi-Objective Bandits
P Gohari, F Djeumou, AP Vinod, U Topcu
arXiv preprint arXiv:2007.15755, 2020
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
F Djeumou, C Neary, E Goubault, S Putot, U Topcu
arXiv preprint arXiv:2109.06407, 2021
Probabilistic Control of Heterogeneous Swarms Subject to Graph Temporal Logic Specifications: A Decentralized and Scalable Approach
F Djeumou, Z Xu, M Cubuktepe, U Topcu
arXiv preprint arXiv:2106.15729, 2021
Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information
F Djeumou, U Topcu
arXiv preprint arXiv:2106.10533, 2021
Task-Guided Inverse Reinforcement Learning Under Partial Information
F Djeumou, M Cubuktepe, C Lennon, U Topcu
arXiv preprint arXiv:2105.14073, 2021
On-the-fly, data-driven reachability analysis and control of unknown systems: an F-16 aircraft case study
F Djeumou, A Zutshi, U Topcu
Proceedings of the 24th International Conference on Hybrid Systems …, 2021
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