Max Robotics — Global Service Robot Directory + US Certification

About

Masoume M. Raeissi is a pioneering researcher in multi-robot systems, human-robot interaction, and autonomous environmental monitoring. Her work focuses on enabling seamless collaboration between human operators and teams of robots, particularly in complex, real-world settings. Raeissi’s major contributions include developing mechanisms for smoothly handling human interrupts within team-oriented plans, allowing operators to issue high-level directives while robots autonomously execute tasks. She introduced innovative queue-based models—such as balking queue approaches—to schedule operator interventions efficiently, minimizing downtime and improving mission effectiveness. Her research on cooperative robotic watercraft addresses critical societal challenges in environmental monitoring, leveraging ICT and robotics to tackle pollution and industrialization impacts. With over 29 citations across her most-cited papers, Raeissi’s work has shaped how multi-robot teams interact with humans in dynamic environments, notably through her 2016 paper on team-oriented plans (13 citations) and her 2017 study on human-multi-robot interaction for water monitoring (4 citations). Her achievements include advancing queuing strategies for learning optimal intervention policies, making her a key figure in scalable, human-aware autonomous systems.