Mariana Netto

Papers

Total Citations

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About

Mariana Netto’s research lies at the intersection of human-robot interaction, swarm robotics, and control systems, with a focus on enabling seamless collaboration between humans and autonomous multi-agent systems. Her most-cited work, “Assisted Teleoperation for a Human-Swarm Interaction System” (2020), addresses a critical challenge in robotics: transitioning from the traditional many-to-one control paradigm—where multiple operators manage a single robot—to a one-to-many model, empowering a single operator to command large swarms of autonomous vehicles. This contribution is foundational for scalable, efficient human-swarm coordination, with applications in search-and-rescue, environmental monitoring, and defense. While her citation count is still growing, Netto’s work is notable for its forward-looking approach to assisted teleoperation, integrating decision-support algorithms to reduce operator cognitive load and enhance swarm responsiveness. Her research has been recognized within the robotics community for its potential to reshape how humans interact with distributed autonomous systems, making her a rising voice in the field of human-swarm interaction.