Askhat Asset

Papers

Total Citations

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About

Askhat Asset is a researcher focused on the intersection of robotics, automation, and healthcare logistics, with a particular emphasis on intelligent systems for pharmaceutical environments. His most-cited work, "Coordinate Robot for Smart Search and Recognition by QR Code of Preparations of a Pharmacy Warehouse" (2023), addresses a critical bottleneck in pharmacy operations: the time-intensive search for medications. By developing a coordinate-based robotic system that leverages QR code recognition, Asset proposes a solution to streamline inventory management and reduce pharmacist workload, moving beyond traditional automated cassette cabinets. This contribution, which has garnered 3 citations, highlights his commitment to practical, efficiency-driven automation. Asset’s research bridges mechanical design, computer vision, and smart search algorithms, offering a tangible pathway to more responsive and accurate pharmacy warehouses. His work is particularly relevant for students and researchers interested in applied robotics, healthcare technology, and the optimization of supply chain processes through intelligent automation.