Summary
Artificial intelligence (AI) systems are increasingly deployed in real-world physical environments to assist in factories, hospitals, warehouses, and other dynamic settings, where safety, reliability, and effective human-AI collaboration are essential. Yet current AI agents still fail in ways that are difficult to detect, explain, and correct. They often misinterpret instructions, fail to recognize when their own reasoning is flawed, struggle to recover from errors, and persist in unsafe or ineffective behavior. This project addresses these limitations by developing a new generation of AI agen
