Zhengzhong Tu

The results show that reliable scenario generation requires verifying realized behavior, not merely executable code, and demonstrate the value of explicit intermediate representations for verifiable and repairable language-driven co-simulation.

Foundation model-powered robots need more than just physical constraints—think modular safety guardrails that understand context, human intent, and evolving norms.

Autonomous vehicles can now react to hazards in under a second thanks to a lightweight vision-language model that fuses onboard sensors with infrastructure alerts.