Franck Djeumou

Toyota Research Institute

Computer Science · Physical Sciences

6h-index134citations33works1.42yr avg
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Research Topics

Reinforcement Learning in Robotics(10), Model Reduction and Neural Networks(10), Advanced Control Systems Optimization(9), Control Systems and Identification(9), Formal Methods in Verification(7)

Publications33 total

First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling
IEEE Robotics and Automation Letters·2025
Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World Policies
2025· 2 cited
Risk-Averse Model Predictive Control for Racing in Adverse Conditions
2025· 1 cited
First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling
arXiv (Cornell University)·2024Open Access
Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World Policies
arXiv (Cornell University)·2024Open Access
Risk-Averse Model Predictive Control for Racing in Adverse Conditions
arXiv (Cornell University)·2024Open Access
Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control
2024· 7 cited
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations
arXiv (Cornell University)·2023· 2 citedOpen Access
Autonomous Drifting with 3 Minutes of Data via Learned Tire Models
arXiv (Cornell University)·2023· 1 citedOpen Access
Autonomous Drifting with 3 Minutes of Data via Learned Tire Models
2023· 29 cited
Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control
arXiv (Cornell University)·2023· 1 citedOpen Access
Task-guided IRL in POMDPs that scales
Artificial Intelligence·2023· 1 cited
Task-Guided IRL in POMDPs that Scales
arXiv (Cornell University)·2022Open Access
On-the-Fly Control of Unknown Systems: From Side Information to Performance Guarantees Through Reachability
IEEE Transactions on Automatic Control·2022· 3 citedOpen Access
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· 1 citedOpen Access
Task-Guided Inverse Reinforcement Learning under Partial Information
Proceedings of the International Conference on Automated Planning and Scheduling·2022· 6 citedOpen Access
Blending Controllers via Multi-Objective Bandits
2022 American Control Conference (ACC)·2022· 1 cited
Probabilistic Control of Heterogeneous Swarms Subject to Graph Temporal Logic Specifications: A Decentralized and Scalable Approach
IEEE Transactions on Automatic Control·2022· 11 cited
Policy Synthesis for Switched Linear Systems With Markov Decision Process Switching
IEEE Transactions on Automatic Control·2022· 4 cited
Learning-Based, Safety-Constrained Control from Scarce Data via Reciprocal Barriers
2021 60th IEEE Conference on Decision and Control (CDC)·2021· 4 cited
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Frequent Co-authors

Ufuk Topcu(25), Murat Cubuktepe(8), Cyrus Neary(6), Éric Goubault(6), Sylvie Putot(6), Michael Thompson(6), Makoto Suminaka(6), John Subosits(6), Abraham P. Vinod(5), Zhe Xu(4), Craig Lennon(4), Thomas Lew(4), Marcus Greiff(4), Jonathan Y. M. Goh(2), Avinash Balachandran(2), Adam J. Thorpe(2), Meeko Oishi(2), Ufuk Topcu(2), Bo Wu(2), Christos K. Verginis(2)