Max Robotics — Global Service Robot Directory + US Certification

About

Sarit Kraus is a distinguished researcher whose work sits at the intersection of multi-agent systems, robotics, and artificial intelligence, with particular expertise in autonomous agent collaboration and adversarial planning. Her research has fundamentally shaped how we think about robots and software agents working together under real-world constraints—especially when teammates are unfamiliar or opponents are actively working against them. Among her most influential contributions is her pioneering work on ad hoc autonomous agent teams, exploring how agents can collaborate effectively without pre-coordination—a challenge central to deploying AI in unpredictable environments (326 citations). Equally impactful is her extensive body of research on multi-robot adversarial patrolling, which addresses security-critical scenarios where robots must outsmart strategic intruders across varying knowledge conditions (254, 94, 80, and 47 citations across multiple studies). Kraus also contributed to broader conversations about AI's societal role, co-authoring Stanford's landmark "One Hundred Year Study on Artificial Intelligence" report (153 citations), cementing her standing beyond technical robotics circles. Her work on scalability and adaptive coordination in robotic teams further demonstrates her comprehensive approach to building robust, intelligent multi-agent systems. Across her career, Kraus has consistently bridged theoretical rigor with practical, high-stakes applications.