Shir Ben-David
Papers
2
Total Citations
7
H-Index
2
About
Shir Ben-David is a robotics researcher specializing in the automation of assembly processes involving deformable objects—a critical frontier for fully automated production. Her work addresses the inherent uncertainty and complexity of manipulating materials like cables, fabrics, or soft components, which traditional rigid-object frameworks cannot handle. In her highly cited 2021 paper, Ben-David introduced a simulation-based two-stage sequencing method that automatically generates assembly sequences for deformable parts, accounting for deformation uncertainty during robotic manipulation. She further advanced the field with her 2025 framework, which integrates planning and execution through a centralized database built on the novel Rαβγ categorization system. This work provides a structured approach to automating process planning, reducing setup times, and enabling scalable deployment. While her citation counts are still growing—reflecting the emerging nature of her research area—her contributions are foundational for industries requiring flexible, adaptive robotics. Ben-David’s work bridges simulation, planning, and real-world execution, positioning her as a key voice in next-generation manufacturing and robotic assembly.
Research Focus
Key Achievements
Top Papers
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- 2