Faraj Altumi

PhD graduate in Autonomous Remanufacturing from the University of Birmingham, specialising in robotic disassembly for sustainable manufacturing and the circular economy. Experienced in designing and implementing robotic systems for complex disassembly tasks, including electric vehicle batteries and electrical motors. Skilled in system integration with collaborative robots, Beckhoff PLCs, TM and KUKA robots, alongside advanced technologies such as vision systems, sensors, and control platforms. Strong track record of delivering fully autonomous robotic platforms and experimental robotic cells to advance automation in remanufacturing

• Focus Areas: Remanufacturing, Robotic Disassembly, Digital Twin, Electric Vehicle Batteries, Predictive Control Systems, and Flexible Object Handling.
• During my PhD study period, I gained extensive experience with Robot Arms such as TM and Kuka robots, focusing on programming, control, and network communication. I also operated external tools, such as sensors, grippers, electric screwdrivers, and magnetic devices, which enhanced the robots' versatility. Additionally, I explored 2D and 3D vision and FT sensors, which enabled precise robot guidance, object recognition, distance measurement, and safety protection.
  
• One remarkable experience involved Digital Twin systems connected in real-time to their physical counterparts. Data were exchanged live to enable real-time issue monitoring and predictions.
  I successfully implemented an innovative strategy to enhance Model Predictive Control techniques for optimising Peg-hole autonomous system disassembly. I introduced the integration of the Bees algorithm as a powerful optimisation tool, significantly enhancing control adaptability. This approach resulted in improved precision and efficiency for robotic, optimal, and real-time adjustments for the Peg-hole disassembly process.
• Introduced a new method for handling flexible objects by integrating 2D/3D vision with F/T sensors, achieving accurate perception and improved grasp control.

• Duc Truong, Pham, Prof., d.t.pham@bham.ac.uk My PhD Supervisor.
• Yongjing, Wang, Dr., y.wang@bham.ac.uk My Line Manager in the Electric Motor Disassembly & IAA Projects.
• Mairi, Kerin, Dr., mairi.kerin@gbsiot.ac.uk My line Manager in the AMTECAA Project.

• Qu, M., Pham, D.T., Altumi, F., Gbadebo, A., Hartono, N., Jiang, K., Kerin, M., Lan, F., Michieli, M., Xu, S. and Wang, Y., 2024. Robotic disassembly platform for disassembly of a plug-in hybrid electric vehicle battery: a case study. Automation, 5(2), pp.50-67.
• Altumi, F., Gbadebo, A. and Pham, D.T., 2023. Designing a Model Predictive Controller for Peg-Hole Disassembly using the Bees Algorithm. The International Workshop on the Bees Algorithm and its Applications.
• Liang, C., Parnada, A., Gbadebo, A., Altumi, F., Qu, M., Li, L., Gomes, A.D., Lin, X., Pham, D.T. and Wang, Y., 2025. An Experimental Robotic Cell for the Disassembly of Electric Vehicle Battery Modules. International Conference of Remanufacturing.