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About

Haydar Sahin is a researcher whose work bridges the gap between advanced manufacturing, collaborative robotics, and practical automation. His key research areas include additive manufacturing for robotic systems, soft robotics, human-robot collaboration, and industrial automation. Sahin’s most notable contribution is the development of an additively manufactured custom soft gripper with embedded soft force sensors for an industrial robot, a paper that has garnered 64 citations. This work demonstrates his ability to integrate novel fabrication techniques with functional sensing, pushing the boundaries of how robots can safely and adaptively interact with their environment. He has also made significant contributions to the understanding of household robotics, with a highly cited 2007 paper on autonomous devices for vacuuming and lawn mowing (49 citations), which helped frame the role of service robots in everyday life. More recently, Sahin has explored collaborative industrial robots and digital industry, as well as algorithmic workspace programming for multi-robot systems. His research is particularly impactful for students and engineers interested in the practical implementation of Industry 4.0 technologies, offering a clear vision of how custom-designed, sensor-rich robots can be deployed in both industrial and domestic settings.