3rd Workshop on MAD-Games: Multi-Agent Dynamic Games at ACC 2026
The 3rd MAD-Games workshop at ACC 2026 aims to explore the latest advances in using game-theoretic and multi-agent control and learning approaches to help autonomous agents achieve safe interactions in highly dynamic environments. It brings together researchers and practitioners to (1) explore the latest developments in interactive autonomy, e.g., game theory, distributed control, and multi-agent learning, and (2) investigate how game-theoretic models can be adapted to handle the complexities of real-world systems.

1st Workshop on Public Trust in Autonomous Systems at ICRA 2025
The Workshop on Public Trust in Autonomous Systems (PTAS) aims to shed light on what assurances we can make—and demand—around the deployment of autonomous systems, informing the public conversation while these technologies are still at an early stage of development. We believe that for robots, autonomous vehicles, and AI systems to become part of our everyday lives, their safety must be as well understood as that of bridges, power plants, and elevators. The workshop aims to catalyze progress toward this goal by bringing technical and regulatory experts together for a focused day-long discussion, targeting new insights on what it would take to establish rigorous foundations for public trust in autonomous systems.

GRASP SFI: From Gambits to Assurances: Game-Theoretic Integration of Safety and Learning for Human-Centered Robotics
From autonomous vehicles navigating busy intersections to quadrupeds deployed in household environments, robots must operate safely and efficiently around people in uncertain and unstructured situations. However, today’s robots still struggle to robustly handle low- probability events without becoming overly conservative. In this talk, I will discuss how planning in the joint space of physical and information states (e.g., beliefs) allows robots to make safe, adaptive decisions in human-centered scenarios.