Akif Ekrekli

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About

Akif Ekrekli is a researcher advancing the frontier of human–robot collaboration, with a specific focus on making industrial robots more intuitive and responsive partners for human workers. His work centers on developing multi-modal interaction systems that bridge the gap between human communication and robotic action. In his highly cited 2023 paper, “Sensor-based human–robot collaboration for industrial tasks” (39 citations), Ekrekli explores how environmental sensing can create interaction modalities tailored to shared industrial contexts, overcoming challenges like variable lighting to enable seamless teamwork. He further extends this vision in “Co-Speech Gestures for Human-Robot Collaboration” (5 citations), where he proposes that robots can understand and respond to natural human gestures made during speech, arguing that a multi-modal approach—combining verbal and non-verbal cues—is far more expressive than single-modality models. By integrating co-speech gestures into robotic control, Ekrekli is pioneering more fluid, human-like communication in manufacturing settings. His work is foundational for next-generation smart factories where humans and robots work side-by-side, not as operators and machines, but as true collaborators.