Soft Robot Optimal Control Via Reduced Order Finite Element Models. - Sander Tonkens; Joseph Lorenzetti; Marco Pavone 001 (ICRA, 2021)

Optimizing Vaccine Allocation Strategies in Pandemic Outbreaks: An Optimal Control Approach. - Sander Tonkens; Paul de Klaver; Mauro Salazar (ECC, 2022)

Refining Control Barrier Functions through Hamilton-Jacobi Reachability. - Sander Tonkens; Sylvia L. Herbert (IROS, 2022)

Patching Neural Barrier Functions Using Hamilton-Jacobi Reachability. - Sander Tonkens; Alex Toofanian; Zhizhen Qin; Sicun Gao; Sylvia L. Herbert (CoRR, 2023)

Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent. - Yuxiao Chen 008; Sander Tonkens; Marco Pavone 001 (CoRR, 2023)

Patching Approximately Safe Value Functions Leveraging Local Hamilton-Jacobi Reachability Analysis. - Sander Tonkens; Alex Toofanian; Zhizhen Qin; Sicun Gao; Sylvia L. Herbert (CDC, 2024)

Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety Filters. - Azra Begzadic; Nikhil Shinde; Sander Tonkens; Dylan Hirsch; Kaleb Ugalde; Michael C. Yip; Jorge Cortés 001; Sylvia L. Herbert (L4DC, 2025)

Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions. - Matthew Kim; Will Sharpless; Hyun Joe Jeong; Sander Tonkens; Somil Bansal; Sylvia L. Herbert (CoRR, 2025)

Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman Formulations. - Will Sharpless; Dylan Hirsch; Sander Tonkens; Nikhil Shinde; Sylvia L. Herbert (CoRR, 2025)