Andrea Bajcsy

Andrea Bajcsy is an Assistant Professor in the Robotics Institute at Carnegie Mellon University, where she leads the Interactive and Trustworthy Robotics Lab (Intent Lab). Her research aims to enable embodied AI agents to interact safely, reliably, and intelligently within the open world. Bajcsy’s work develops theory and algorithms grounded in control theory, reinforcement learning, dynamic games, uncertainty quantification, and deep learning, with the goal of quantifying a robot’s confidence, predicting environmental dynamics, and designing safe interaction policies. Her group studies how robots can avoid subtle real-world hazards—such as tearing, spilling, or breaking—while aligning system behavior with hard-to-specify human values. Applications span lightweight robotic arms, quadrotors, quadrupedal platforms, and autonomous vehicles. By combining rigorous mathematical foundations with practical deployment, Bajcsy’s research pushes toward trustworthy robotic systems capable of operating alongside people in everyday environments.