Probabilistic Swarm Guidance Subject to Graph Temporal Logic Specifications. - Franck Djeumou; Zhe Xu 005; Ufuk Topcu (Robotics: Science and Systems, 2020)

On-The-Fly Control of Unknown Smooth Systems from Limited Data. - Franck Djeumou; Abraham P. Vinod; Eric Goubault; Sylvie Putot; Ufuk Topcu (ACC, 2021)

Learning-Based, Safety-Constrained Control from Scarce Data via Reciprocal Barriers. - Christos K. Verginis; Franck Djeumou; Ufuk Topcu (CDC, 2021)

On-the-fly, data-driven reachability analysis and control of unknown systems: an F-16 aircraft case study. - Franck Djeumou; Aditya Zutshi 001; Ufuk Topcu (HSCC, 2021)

Safety-Constrained Learning and Control using Scarce Data and Reciprocal Barriers. - Christos K. Verginis; Franck Djeumou; Ufuk Topcu (CoRR, 2021)

Online Synthesis for Runtime Enforcement of Safety in Multiagent Systems. - Dhananjay Raju; Sudarshanan Bharadwaj; Franck Djeumou; Ufuk Topcu (IEEE Trans. Control. Netw. Syst., 2021)

Task-Guided Inverse Reinforcement Learning under Partial Information. - Franck Djeumou; Murat Cubuktepe; Craig Lennon; Ufuk Topcu (ICAPS, 2022)

Blending Controllers via Multi-Objective Bandits. - Parham Gohari; Franck Djeumou; Abraham P. Vinod; Ufuk Topcu (ACC, 2022)

Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs. - Franck Djeumou; Cyrus Neary; Eric Goubault; Sylvie Putot; Ufuk Topcu (IJCAI, 2022)

Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling. - Franck Djeumou; Cyrus Neary; Eric Goubault; Sylvie Putot; Ufuk Topcu (L4DC, 2022)

Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information. - Franck Djeumou; Ufuk Topcu (L4DC, 2022)

How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations. - Franck Djeumou; Cyrus Neary; Ufuk Topcu (CoRL, 2023)

Autonomous Drifting with 3 Minutes of Data via Learned Tire Models. - Franck Djeumou; Jonathan Y. M. Goh; Ufuk Topcu; Avinash Balachandran (ICRA, 2023)

Probabilistic Control of Heterogeneous Swarms Subject to Graph Temporal Logic Specifications: A Decentralized and Scalable Approach. - Franck Djeumou; Zhe Xu 005; Murat Cubuktepe; Ufuk Topcu (IEEE Trans. Autom. Control., 2023)

Policy Synthesis for Switched Linear Systems With Markov Decision Process Switching. - Bo Wu 005; Murat Cubuktepe; Franck Djeumou; Zhe Xu 005; Ufuk Topcu (IEEE Trans. Autom. Control., 2023)

Task-guided IRL in POMDPs that scales. - Franck Djeumou; Christian Ellis; Murat Cubuktepe; Craig Lennon; Ufuk Topcu (Artif. Intell., 2023)

On-the-Fly Control of Unknown Systems: From Side Information to Performance Guarantees Through Reachability. - Franck Djeumou; Abraham P. Vinod; Eric Goubault; Sylvie Putot; Ufuk Topcu (IEEE Trans. Autom. Control., 2023)

Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control. - Adam J. Thorpe; Cyrus Neary; Franck Djeumou; Meeko M. K. Oishi; Ufuk Topcu (ACC, 2024)

One Model to Drift Them All: Physics-Informed Conditional Diffusion Model for Driving at the Limits. - Franck Djeumou; Thomas Lew; Nan Ding; Michael Thompson; Makoto Suminaka; Marcus Greiff; John Subosits (CoRL, 2024)

Risk-Averse Model Predictive Control for Racing in Adverse Conditions. - Thomas Lew; Marcus Greiff; Franck Djeumou; Makoto Suminaka; Michael Thompson; John Subosits (CoRR, 2024)

Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World Policies. - Franck Djeumou; Michael Thompson; Makoto Suminaka; John Subosits (CoRR, 2024)

First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling. - Alexander Davydov; Franck Djeumou; Marcus Greiff; Makoto Suminaka; Michael Thompson; John Subosits; Thomas Lew (CoRR, 2024)

Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL. - Cevahir Köprülü; Franck Djeumou; Ufuk Topcu (ICLR, 2025)