Nabil Nahas

Papers

Total Citations

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About

Nabil Nahas is a rising researcher in industrial robotics, with a focused expertise in the multi-objective optimization and cost-efficient design of robot arms. His work directly addresses the critical engineering challenge of minimizing both the initial capital expenditure and the ongoing operational costs of robotic systems. His most impactful contribution, a 2022 paper on multi-objective design optimization (65 citations), provides a novel framework for selecting materials and physical dimensions to withstand high loads, effectively balancing performance with economic viability. Nahas further advances the field by proposing radical simplifications to robot architecture, including a new end-effector design that reduces the Degree of Freedom from six to three, thereby minimizing torque and actuator requirements. He has also derived simplified torque modeling equations for planar robots, reducing the computational complexity of simulation. While early in his career, these contributions—particularly the high citation count of his primary work—signal a strong impact on the practical, cost-sensitive side of industrial automation, offering clear pathways for more affordable and efficient robotic design.