Kamran Javed

Papers

Total Citations

H-Index

About

Kamran Javed is a researcher whose work lies at the intersection of robotics, machine vision, and intelligent automation. His primary research areas include vision-based path planning, object tracking, and the control of multi-degree-of-freedom robotic manipulators. Javed’s most cited work, “A Vision-Based Path Planning and Object Tracking Framework for 6-DOF Robotic Manipulator” (2020), has garnered 24 citations and addresses a critical challenge in industrial robotics: improving production efficiency through enhanced localization and autonomous decision-making. By integrating machine vision with path planning algorithms, his framework enables robotic arms to perceive, track, and manipulate objects in dynamic environments—reducing reliance on pre-programmed routines and human oversight. This contribution is particularly relevant for hazardous or repetitive tasks where precision and adaptability are paramount. Javed’s research bridges the gap between theoretical robotics and practical industrial applications, offering scalable solutions for smart manufacturing. His work continues to influence the development of more autonomous, vision-guided robotic systems, making him a notable figure in the field of applied robotics and automation engineering.