Shahriar Najafi Haeri

Papers

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About

Shahriar Najafi Haeri is a researcher focused on advancing collaborative robotics and human-robot interaction. His key research areas include dual-arm robotic systems, vision-based object classification, and safe human-robot collaboration in industrial and public settings. Haeri’s most cited work, “A Dual-Arm Robot for Collaborative Vision-Based Object Classification” (2020, 11 citations), introduces a smart collaborative robot that integrates vision capabilities to detect and classify workpieces while working safely alongside human operators—a significant contribution to enhancing automation flexibility and safety. He also authored “ABB YuMi© High-Speed Pick and Place Game in Action” (2018, 3 citations), which demonstrates how untrained users can safely interact with industrial robots in engaging applications, such as a museum game where the robot plays with visitors. This work highlights Haeri’s commitment to making robotics accessible and interactive beyond traditional factory floors. His research bridges the gap between industrial efficiency and human-centric design, showcasing the potential of collaborative robots in dynamic, real-world environments. With a focus on practical demonstrations and safety, Haeri’s contributions are shaping the future of human-robot collaboration.