11 papers
Towards General Language-Conditioned Latent Safety Filters
Ihab Tabbara, Yuxuan Yang, Hussein Sibai
Robot policies are becoming increasingly general, with vision-language-action (VLA) models enabling a single policy to execute diverse tasks specified in natural language. Safe dep…
On the Limits of Sampling-Based Reachability: Geometry, Dynamics, and Sample Complexity
Jixian Liu, Ihab Tabbara, Hussein Sibai +1
Reachability analysis is central to safety-critical control, robotics, and neural network verification, but classical computational methods, such as Hamilton--Jacobi reachability a…
Safe Control using Learned Safety Filters and Adaptive Conformal Inference
Sacha Huriot, Ihab Tabbara, Hussein Sibai
Safety filters have been shown to be effective tools to ensure the safety of control systems with unsafe nominal policies. To address scalability challenges in traditional synthesi…
Computing Sound Lower and Upper Bounds on Hamilton-Jacobi Reach-Avoid Value Functions
Ihab Tabbara, Eliya Badr, Hussein Sibai
Hamilton-Jacobi (HJ) reachability analysis is a fundamental tool for the safety verification and control synthesis of nonlinear control systems. Classical HJ reachability analysis…
Statistically Assuring Safety of Control Systems using Ensembles of Safety Filters and Conformal Prediction
Ihab Tabbara, Yuxuan Yang, Hussein Sibai
Safety assurance is a fundamental requirement for deploying learning-enabled autonomous systems. Hamilton-Jacobi (HJ) reachability analysis is a fundamental method for formally ver…
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
Xinhang Ma, Junlin Wu, Hussein Sibai +2
Ensuring safety in autonomous systems with vision-based control remains a critical challenge due to the high dimensionality of image inputs and the fact that the relationship betwe…