Franck Djeumou

Orcid: 0000-0002-0292-9986

According to our database1, Franck Djeumou authored at least 21 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling.
CoRR, 2024

Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World Policies.
CoRR, 2024

Risk-Averse Model Predictive Control for Racing in Adverse Conditions.
CoRR, 2024

Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control.
Proceedings of the American Control Conference, 2024

2023
On-the-Fly Control of Unknown Systems: From Side Information to Performance Guarantees Through Reachability.
IEEE Trans. Autom. Control., August, 2023

Task-guided IRL in POMDPs that scales.
Artif. Intell., April, 2023

Policy Synthesis for Switched Linear Systems With Markov Decision Process Switching.
IEEE Trans. Autom. Control., 2023

Probabilistic Control of Heterogeneous Swarms Subject to Graph Temporal Logic Specifications: A Decentralized and Scalable Approach.
IEEE Trans. Autom. Control., 2023

Autonomous Drifting with 3 Minutes of Data via Learned Tire Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations.
Proceedings of the Conference on Robot Learning, 2023

2022
Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Blending Controllers via Multi-Objective Bandits.
Proceedings of the American Control Conference, 2022

Task-Guided Inverse Reinforcement Learning under Partial Information.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021
Online Synthesis for Runtime Enforcement of Safety in Multiagent Systems.
IEEE Trans. Control. Netw. Syst., 2021

Safety-Constrained Learning and Control using Scarce Data and Reciprocal Barriers.
CoRR, 2021

On-the-fly, data-driven reachability analysis and control of unknown systems: an F-16 aircraft case study.
Proceedings of the HSCC '21: 24th ACM International Conference on Hybrid Systems: Computation and Control, 2021

Learning-Based, Safety-Constrained Control from Scarce Data via Reciprocal Barriers.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

On-The-Fly Control of Unknown Smooth Systems from Limited Data.
Proceedings of the 2021 American Control Conference, 2021

2020
Probabilistic Swarm Guidance Subject to Graph Temporal Logic Specifications.
Proceedings of the Robotics: Science and Systems XVI, 2020


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