Muhammad Yaqoob

Papers

Total Citations

H-Index

About

Muhammad Yaqoob’s research lies at the intersection of robotics, haptic feedback, and embedded control systems, with a focus on enhancing human-robot interaction. His major contributions center on the design and control of robotic manipulators that incorporate haptic (force) feedback—a critical capability for applications ranging from intelligent industrial manufacturing to robotic surgery. In his most-cited work (2014, 7 citations), Yaqoob demonstrated a programmable system-on-chip (PSoC) approach to control a six-degree-of-freedom robotic arm, using polar coordinates for three-dimensional spatial coverage. This work established a foundation for low-latency, integrated control of haptic-enabled systems. His 2015 follow-up (5 citations) directly addressed a key limitation in surgical robotics: the absence of tactile feedback. By designing a haptic-enabled manipulator, Yaqoob proposed a solution to improve precision and reduce trauma in minimally invasive procedures. Though his citation counts are modest, his research is notable for tackling a practical, high-impact problem—bridging the gap between industrial automation and medical robotics through embedded haptic control. Yaqoob’s work is particularly relevant for students and researchers interested in cyber-physical systems, human-robot collaboration, and the integration of sensory feedback into robotic platforms.