Jiazhao Liang

Centre for Artificial Intelligence and Robotics, New York University Abu Dhabi

Papers

Total Citations

H-Index

About

Jiazhao Liang is a rising researcher at the forefront of robotics and artificial intelligence, with a primary focus on the security, coordination, and learning capabilities of autonomous systems. His pioneering work investigates the vulnerabilities of Large Language Model (LLM)-based navigation in urban environments, revealing critical security gaps in these increasingly deployed systems—a contribution that has already garnered attention with 3 citations. Liang further advances multi-robot collaboration by integrating retrospective frameworks into LLM-driven communication, enabling more efficient decision-making in dynamic, uncertain settings. His exploration of goal-driven transformers for robot behavior learning from unstructured play data marks a significant step toward more adaptable and data-efficient robotic training. With a total of 6 citations across his most-cited papers, Liang’s research is not only timely but foundational, addressing pressing challenges in secure, collaborative, and intelligent robotics. His work stands out for its interdisciplinary approach, merging cybersecurity concerns with cutting-edge AI to shape the next generation of trustworthy and resilient autonomous systems.