David Dakdouk

Papers

Total Citations

H-Index

About

David Dakdouk is a researcher focused on advancing robotic automation in aerospace manufacturing, with a particular emphasis on tool accessibility, path planning, and motion planning for complex assembly tasks. His work addresses critical bottlenecks in aircraft production, where intricate part geometries and confined spaces limit the deployment of robotic systems for drilling and fastening operations. Dakdouk’s major contributions include developing analytical frameworks to evaluate and optimize tool accessibility, enabling robots to navigate crowded and irregularly shaped components more effectively. His most cited paper, "Tool Accessibility Analysis for Robotic Drilling and Fastening" (2017, 6 citations), lays foundational methods for assessing whether robotic end-effectors can reach target locations without collisions, directly impacting the feasibility of automating labor-intensive processes. A subsequent study (2021, 2 citations) extends this work by integrating path and motion planning, offering a more comprehensive solution for robotic drilling and riveting. While his citation counts are modest, Dakdouk’s research is notable for tackling a practical, industry-driven challenge—improving the efficiency and precision of aerospace assembly—making his work valuable for engineers and researchers seeking to bridge the gap between robotic capabilities and real-world manufacturing constraints.