Uzair Khaleeq uz Zaman

National University of Sciences and Technology, National University of Medical Sciences, Army Medical College

Papers

Total Citations

H-Index

About

Uzair Khaleeq uz Zaman is a robotics researcher whose work bridges the gap between human-centric automation and industrial efficiency. His primary research areas include collaborative robotics, autonomous navigation, and warehouse automation, with a strong focus on deploying intelligent systems in real-world manufacturing and logistics environments. His most cited work, "Collaborative Robots" (2023, 12 citations), positions cobots as a flexible, lightweight alternative to traditional industrial robots, emphasizing their role as core Industry 4.0 technologies that work alongside human operators. In "An RPLiDAR based SLAM equipped with IMU for Autonomous Navigation of Wheeled Mobile Robot" (2020, 8 citations), he tackled the challenge of accurate mapping and localization in GPS-denied environments, advancing the state of the art in mobile robot autonomy. His applied engineering contributions are highlighted in "Development of Automated Guided Vehicle for Warehouse Automation of a Textile Factory" (2021, 3 citations), where he addressed the specific needs of Pakistan's textile industry—a sector critical to the national economy. Through this work, Zaman demonstrates a commitment to solving practical, industry-driven problems, making his research both academically sound and industrially relevant for the next generation of automation engineers.