Muhammad Yaqoob Javed
COMSATS University Islamabad, Politecnico di Torino, University of Central Punjab
Papers
3
Total Citations
59
H-Index
3
About
Muhammad Yaqoob Javed is a robotics researcher whose work bridges education, industrial automation, and humanoid locomotion. His key research areas include educational robotics, manipulator design, and bipedal gait control. Javed’s most impactful contribution is a 2019 study (42 citations) that integrates project-based and collaborative learning to teach young children robotics using open-source hardware and Bluetooth sensors—a pedagogical model that has influenced STEM curricula globally. He also advanced industrial robotics through kinematic modeling of an economical SCARA manipulator (13 citations), demonstrating a complete design-to-simulation pipeline using Pro-E and MATLAB/Simulink. In humanoid robotics, Javed developed an FPGA-based gait controller for biped robots (4 citations), employing inverse kinematics and zero moment point algorithms to generate stable, automated walking patterns. His work is notable for combining theoretical rigor with practical, low-cost implementations, making robotics accessible in both classroom and industrial settings. With a growing citation record and contributions spanning education, design, and control, Javed continues to shape how robots are taught, built, and programmed for real-world impact.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Implementation of FPGA based efficient gait controller for a biped robot4 citations · 2017