UCSD Safe Autonomous Systems Lab

Oswin So - Policy Optimization under Specifications with Reinforcement Learning

David Fridovich-Keil - Dynamic game theory in multi-agent interactive settings

Mansur M Arief - Scalable decision-making validation under catastrophic risks

Jason Choi - Safety Filters for Uncertain Dynamical Systems: Control Theory & Data-driven Approaches

Yuxiao Chen - Towards safe multiagent autonomy

Anushri Dixit - Planning with Confidence: Uncertainty Quantification for Safety-Critical Tasks

Armin Lederer - Safe Model-Based Control with Gaussian Processes

Sander Tonkens - Refining CBFs through Hamilton-Jacobi Reachability (IROS 2022 Presentation)

Alonso Marco -- Bayesian Optimization: Overview and Applications in Robotics

Robust Control Barrier-Value Functions for Safety-Critical Control

Scalable Learning of Safety Guarantees for Autonomous Systems using Hamilton-Jacobi Reachability

Felix Berkenkamp - Exploration and Safety in Model-Based Reinforcement Learning

Jame Fernandez-Fisac -- Safe Human-Centered Robotics

Lukas Hewing - Model Predictive Control and Predictive Safety Filters

Robert Hawkins - Cognitive Models of Decision-Making in Social Contexts

Somil Bansal - DeepReach: Learning for High-Dimensional Reachability Problems

Shreyas Kousik - Reachability-based Trajectory Design (RTD)

Zachary Sunberg - Safety and Efficiency through POMDP Planning

Jason Choi -- Introduction to Control Lyapunov Functions and Control Barrier Functions