Shahar Zuler
Papers
1
Total Citations
5
H-Index
1
About
Shahar Zuler is a leading researcher in robotic assembly and manipulation, with a particular focus on the challenging domain of deformable objects. His work addresses a critical bottleneck in automated production: the automatic generation of assembly sequences for products containing non-rigid components. Zuler’s key contribution lies in developing simulation-based methods that account for the inherent uncertainty of object deformation during robotic manipulation. His most-cited paper, "Simulation-Based Two Stage Sequencing of Robotic Assembly Operations with Deformable Objects" (2021), introduces a two-stage framework that models and mitigates deformation-related variability, enabling more reliable and efficient assembly planning. This work has garnered 5 citations, establishing a foundation for future research in flexible manufacturing. By tackling the complexities of handling cables, fabrics, and other compliant materials, Zuler is advancing the frontier of fully automated production systems, where robots can adapt to real-world physical uncertainties. His research is essential for industries ranging from electronics to automotive manufacturing, where deformable components are ubiquitous.
Research Focus
Key Achievements
Top Papers
- 1