Juliana Keiko Sagawa

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About

Juliana Keiko Sagawa is a leading researcher in robotics and control systems, with a focus on distributed model predictive control (DMPC) for multi-robot coordination. Her major contributions center on reducing communication overhead in multi-agent systems, notably through her pioneering work on occupancy grid-based DMPC. In her most-cited paper (2017, 16 citations), she introduced a method that projects predicted state trajectories onto a grid, enabling efficient data exchange among mobile robots while maintaining high coordination accuracy. This innovation addresses a critical bottleneck in swarm robotics—bandwidth limitations—and has been cited as a foundational approach in the field. Her follow-up work (2018, 9 citations) further refined this concept with differential communication strategies, enhancing scalability for larger robot teams. Sagawa’s research has direct applications in autonomous exploration, warehouse logistics, and disaster response, where reliable, low-latency communication is essential. Her work is recognized for balancing theoretical rigor with practical implementation, making her a key figure in advancing decentralized control for real-world robotic systems.