Gali Naveh

Papers

Total Citations

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About

Gali Naveh is a robotics researcher whose work centers on automating assembly processes, with a particular focus on the challenges posed by deformable objects. Her key contribution is the development of a planning and execution framework that leverages a centralized database based on the Rαβγ categorization system, enabling robots to handle non-rigid materials with greater precision and efficiency. This framework addresses a critical gap in manufacturing automation, where most existing solutions are designed for rigid components. By integrating process planning with real-time execution, Naveh’s work reduces setup times and enhances adaptability in robotic assembly lines. Though her research is still emerging, with her most-cited paper accumulating 2 citations since 2025, it represents a foundational step toward more versatile industrial robotics. Her achievements highlight a growing need for systems that can manage the complexity of deformable objects—such as wires, fabrics, or soft plastics—paving the way for smarter, more flexible automation in sectors like electronics, automotive, and textile manufacturing. Naveh’s work is especially relevant for students and researchers interested in bridging the gap between rigid and soft robotics.