Papers
2
Total Citations
6
H-Index
2
About
Nina Majer is a leading researcher in autonomous mobile robotics, specializing in game-theoretic approaches to multi-robot coordination and collision avoidance. Her work addresses a critical challenge in modern manufacturing and logistics: enabling fleets of autonomous mobile robots to navigate safely and efficiently through unstructured, dynamic environments without centralized control. Majer’s most influential paper, “Game-Theoretic Trajectory Planning of Mobile Robots in Unstructured Intersection Scenarios” (2023, 4 citations), introduces a novel framework that models robot interactions at intersections as non-cooperative games, allowing each robot to predict and negotiate optimal trajectories in real time. This approach resolves deadlock-prone scenarios that traditional path-planning algorithms cannot handle. Her follow-up work, “Coordinated trajectory planning of homogeneous and heterogeneous mobile robots in collision avoidance scenarios” (2025, 2 citations), extends the framework to mixed fleets of robots with different capabilities, a practical necessity for flexible factories. Though early in her career, Majer’s contributions are foundational for the next generation of autonomous logistics systems, offering scalable, decentralized solutions that promise to transform industrial automation.
Research Focus
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Top Papers
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