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About

Mohammad Fadhil Abas is a robotics researcher whose work spans autonomous navigation, multi-robot communication, and assistive technologies. His research addresses critical challenges in enabling robots to operate across diverse and complex environments, from indoor spaces to underwater settings. One of his key contributions is developing a vision-based system for elevator button recognition and detection, allowing autonomous transporters to navigate multi-floor environments—a foundational step for expanding robotic mobility in human-centric buildings. This work has garnered 7 citations. Abas has also made significant advances in robot networking, proposing the Tag QoS Switching (TQS) protocol and the Label-QoS switching protocol to ensure reliable communication in heterogeneous and dynamic swarm robot networks, with combined citations exceeding 10. His comprehensive review on bipedal wheel-legged robots (2023, 6 citations) synthesizes design and control insights for applications in assistive technology and disaster response. Additionally, his work on automatic color sorting and pick-and-place using a 6-DOF robot arm (2021, 6 citations) demonstrates practical integration of wireless control interfaces. Through these contributions, Abas is helping to build the foundational technologies for more capable, collaborative, and environment-aware robotic systems.