Marina Ionova

Institute of Informatics of the Slovak Academy of Sciences

Papers

Total Citations

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About

Marina Ionova is a rising researcher in human-robot collaboration, with a focus on developing adaptive, constraint-based scheduling systems that make assembly processes safer and more intuitive. Her most-cited work, "CoBOS: Constraint-Based Online Scheduler for Human-Robot Collaboration" (2024), addresses a critical challenge in shared workspaces: the rigidity of fixed robot programs that cannot accommodate human variability. By introducing a dynamic scheduler that respects spatial and temporal constraints, Ionova reduces operator stress and enhances workflow fluidity—a contribution that has already garnered early citations and signals growing interest in her approach. Her research sits at the intersection of robotics, real-time planning, and human factors, aiming to replace static protocols with responsive collaboration. Though early in her career, Ionova’s work is notable for its practical orientation, targeting real-world manufacturing pain points. As industries push toward flexible automation, her constraint-based methodology offers a promising pathway to more harmonious human-robot teams, positioning her as a key voice in the next wave of collaborative robotics research.