Jasurkhuja Kholkhujaev
Papers
2
Total Citations
20
H-Index
2
About
Jasurkhuja Kholkhujaev is a researcher at the forefront of precision manufacturing and industrial robotics, with a focus on human–robot collaboration and quality control automation. His work bridges the gap between advanced metrology and practical industrial applications, particularly in the automotive sector. In his highly cited 2022 paper, Kholkhujaev developed a non-contact, machine vision-based gap and flushness measurement system integrated with articulated robotic arms. This plug-and-play system enables operator-free, Stop-and-Go quality control, offering a significant leap in efficiency and accuracy for automobile assembly lines. Building on this, his 2025 work on traceable digital twins addresses a critical challenge in human–robot collaborative (HRC) systems: ensuring precise positioning of industrial robot arms in shared workspaces. By creating a digital twin that maintains traceable accuracy, Kholkhujaev enhances safety and flexibility in manufacturing environments, allowing for high-level customization without compromising precision. With over 20 combined citations from these key contributions, his research is shaping the future of smart manufacturing, making industrial processes safer, more efficient, and increasingly autonomous.
Research Focus
Key Achievements
Top Papers
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- 2