Papers
3
Total Citations
71
H-Index
3
About
Lazher Zaidi is a robotics researcher whose work sits at the intersection of robotic manipulation, grasp planning, and deformable object modeling. His research addresses one of the field's more challenging frontiers: enabling robotic hands to reliably grasp and manipulate objects that deform under contact — a problem with significant implications for industrial automation, food handling, and soft goods manufacturing. Zaidi's most influential contribution, a 2017 paper on model-based grasping strategies for 3D deformable objects using multi-fingered robotic hands, has garnered 51 citations and established a foundational framework for how contact constraints between fingers and compliant objects can be systematically modeled and validated. This work built on his earlier 2014 efforts to formally analyze deformable object grasping, a topic historically overshadowed by rigid-body manipulation research. His 2020 pipeline for robust industrial grasping extended these ideas into practical robotic arm-and-hand systems, emphasizing contact interaction models that previous work had largely overlooked. Collectively, Zaidi's research has helped bridge the gap between theoretical grasp mechanics and real-world deployment, offering tools that make robotic manipulation more adaptable and reliable in unstructured environments. His work is particularly valuable for researchers and engineers designing next-generation automation systems.
Research Focus
Key Achievements
Top Papers
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- 3Modeling and analysis of 3D deformable object grasping10 citations · 2014