Khalid Hamid Bilal

Sudan University of Science and Technology

Papers

Total Citations

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About

Khalid Hamid Bilal is a robotics and control systems researcher whose work focuses on the intersection of intelligent control algorithms and robotic manipulator systems. His research centers on applying advanced computational techniques — particularly Adaptive Neuro-Fuzzy Inference Systems (ANFIS) — to solve complex robotics challenges, most notably the inverse kinematics problem in robotic arm systems. Bilal's most recognized contributions involve the implementation of ANFIS-based controllers on the modified PUMA 560 robotic arm, a classic benchmark platform in robotics research. His 2018 studies demonstrate how combining neuro-fuzzy logic with traditional PID control strategies can enhance both the accuracy and stability of robotic movement — longstanding challenges for designers and engineers working with articulated robotic systems. His work further explores the integration of omni-directional wheel mobile robotics with intelligent arm control, bridging mobile platform navigation and manipulator precision in a unified framework. While his published papers have each accumulated 2 citations, Bilal's research addresses genuinely pressing engineering problems in robotic control and autonomous systems. His contributions offer practical pathways for implementing intelligent algorithms on microcontroller-based hardware, making sophisticated robotic control more accessible for real-world applications and inspiring further investigation in adaptive robotics control systems.