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About

Sallam A. Kouritem is a researcher whose work sits at the intersection of robotic design optimization and agricultural automation. His primary research areas include multi-objective optimization for industrial robot arms, torque minimization, and the development of specialized harvesting robots. Kouritem’s most impactful contribution is a multi-objective design framework for industrial robot arms that simultaneously minimizes both initial and running costs by optimizing material selection and physical dimensions to withstand high-stress loads—work that has earned 65 citations. He has also proposed a novel end-effector design that reduces a robot’s Degrees of Freedom from six to three by using a vacuum compressor, dramatically cutting actuator requirements and cost. In the agricultural domain, his comprehensive review of apple harvesting robots (11 citations) provides a comparative analysis of techniques and a historical overview of fruit-plucking automation. Kouritem further contributed simplified torque modeling equations for planar robots, reducing the complexity of simulation. His work is notable for bridging theoretical optimization with practical, cost-sensitive engineering solutions for both industrial and agricultural robotics.