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About

Mohd Tarmizi Ibrahim is a robotics researcher whose work bridges autonomous navigation, bio-signal control, and accessible engineering education. His primary research areas include hexapod robot locomotion, fuzzy logic control systems, and human-robot interaction through physiological signals. Ibrahim’s most influential work, "Autonomous Navigation for a Dynamical Hexapod Robot Using Fuzzy Logic Controller" (2012, 7 citations), addresses the limitations of single-guidance navigation systems by developing adaptive control strategies for multi-legged robots traversing complex terrains. He further advanced hexapod robotics with his 2011 paper on line and wall-following techniques, demonstrating practical applications for hazardous environment operations. Demonstrating interdisciplinary innovation, Ibrahim pioneered facial-muscle controlled robotics in his 2012 study on EMG measurement systems, using frontalis and zygomaticus major muscle signals to enable hands-free mobile robot control—a contribution with potential assistive technology applications. Most recently, his 2023 work on a 6-DoF remote-access educational robot arm laboratory platform directly addresses the pandemic-induced gap in hands-on engineering education, providing an online solution for practical learning. With a citation trajectory showing steady growth, Ibrahim’s research portfolio reflects a commitment to making robotics more adaptive, accessible, and educationally inclusive.