Max Robotics — Global Service Robot Directory + US Certification

About

Sebastian Zanlongo’s research lies at the intersection of multi-robot systems, human-robot interaction, and autonomous scheduling, with a focus on enabling semi-autonomous teams to operate under constrained human supervision. His major contributions center on developing algorithms that coordinate operator attention across multiple robots, ensuring that limited human oversight is allocated efficiently without overlap. His most cited work, “Multi-robot Scheduling and Path-Planning for Non-overlapping Operator Attention” (12 citations), introduces a framework for scheduling operator interventions in complex, semi-autonomous tasks. Building on this, his 2021 paper extends the approach to humanoid robots and high-complexity systems. Zanlongo has also applied informative path planning to environmental monitoring, notably for inspecting the Hanford Tank Farm—a real-world hazardous site. His earlier work on “computational ferrying” addressed cloud offloading in communication-denied environments, such as battlefield scenarios. With a total of 28 citations across his top papers, Zanlongo’s work is foundational for scaling human-robot teams in safety-critical and resource-limited settings, making him a key voice in the future of collaborative autonomy.