Hussein is currently pursuing his PhD under the supervision of Dr Nicola Bailey and Dr Michael Gomez in the Department of Engineering at King’s College London.

Prior to this, he earned his BSc degree in Mechatronics Engineering from Birzeit University in Palestine in 2020, followed by an MSc in Robotics at King’s College London in 2024, where his research focused on Machine Teaching and Learning from Demonstration. From 2020 to 2023, he worked in academia as a research and teaching assistant at Birzeit University.

Research Interests

• Precision Mechanisms and Robots
• Robust Control
• Machine learning for robotic applications

Thesis Title and Abstract

Robotic Systems for Precision Automation

Conventional multibody systems used in robotics and automated machinery have fundamentally limited precision due to traditional bearing joints having complex and uncertain tribological characteristics. In turn, this could impact negatively on the quality and efficiency of an industrial process. Replacing these joints with flexure couplings (flexible links), which act as pseudo-joints, can provide major benefits by eliminating the uncertain effects and providing more predictable motion which may enable precise and repeatable positioning when suitable control schemes and actuation are implemented. This research is at the initial fundamental research stage of flexure couplings, but through time could have a large impact in many different areas, including in robotics and the manufacturing industry. Producing robotics capable of precise and repeatable motion could lead to reliable new and novel manufacturing processes, thus eliminating the need for jigs when complex components are manufactured. In turn this could lead to a more flexible and cost-effective process than is currently used and is in line with the recent trend in the manufacturing industry which has the overall aim of achieving Industry 4.0.

Supervisor Team

First Supervisor: Dr Nicola Bailey

Second Supervisor: Dr Michael Gomez