Andrea Bajcsy
Robotics Institute
Carnegie Mellon University
About Professor Andrea Bajcsy
Carnegie Mellon University stands as a global beacon for innovation, particularly renowned for its groundbreaking contributions to artificial intelligence and robotics. The Robotics Institute, a cornerstone of this excellence, consistently ranks among the world's top research centers, attracting leading minds dedicated to advancing the frontiers of autonomous systems. Its dynamic academic environment fosters an unparalleled ecosystem for interdisciplinary collaboration and pioneering research, solidifying its reputation for producing transformative technologies and future leaders in the field. Professor Andrea Bajcsy's affiliation underscores the Institute's commitment to high-impact, theoretically rigorous, and practically relevant robotics education and research.
🧬Research Focus
Professor Andrea Bajcsy's research within the Interactive and Trustworthy Robotics Lab (Intent Lab) focuses on enabling embodied AI agents to interact safely, reliably, and intelligently in complex environments. Her interdisciplinary approach integrates principles from robot learning, control theory, reinforcement learning, and uncertainty quantification to develop algorithms for safe autonomy. This vital work addresses critical challenges in human-robot interaction, aiming to quantify robot confidence, predict environmental dynamics, and design robust interaction policies. Bajcsy’s group advances perceptual robotics and world modeling, exploring how AI reasoning for robotics can prevent subtle real-world hazards across applications like robotic arms, quadrotors, and autonomous vehicles, pushing toward truly trustworthy robotic systems.
🎓Student Fit & Career
Graduate students seeking to tackle fundamental challenges in robotics would find an exceptional home under Professor Bajcsy's academic mentorship. Ideal PhD students possess strong analytical skills, a solid foundation in control theory, machine learning, or computer science, and a passion for developing intelligent, safe, and explainable robotic systems. Individuals thrive here if they are driven to bridge rigorous mathematical theory with practical deployment in areas like embodied AI. Graduates from this lab are well-prepared for impactful careers in academia, leading university research groups, or in industry, spearheading innovation at top technology companies in robotics development, AI research, and autonomous systems engineering.
Research Areas
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