In addition to the autonomous tuning which is executed in a matter of seconds, DroneLeaf solutions push unmanned systems performance to the max; achieving sub-centimetre trajectory tracking accuracy and enabling drones for example to perform extremely aggressive manoeuvres that challenge their physical limits.
DroneLeaf solutions minimize the chances of sudden failures with the ability to detect sudden changes and automatically re-adjust GNC algorithms to match the new scenario. This includes changes to the unmanned system itself (e.g., payload variations, drone propeller damage…etc) or changes in the surrounding environment (e.g., wind, lighting conditions).
With this high level of adaptability, no territory is strange for your unmanned system. Whether it’s strong wind or unexpected disturbances, our real-time adaptation and estimation algorithms continuously harmonize your unmanned system with its environment, guaranteeing stability and quantifiable measures of robustness.
Dr. Zweiri has more than 20 years of experience in different fields of robotics and AI. He led research projects for British Ministry of Defence, Field and Space Robotics laboratory (MIT), Physical Sciences Research Council (EPSRC), King Abdullah II Design and Development Bureau (KADDB) and Kingston University. Dr. Zweiri filed 10 patents in the US and Europe.
Dr. Almaskari has a Ph. D. in mechanical engineering from University of Manchester, UK. He has many years of experience in researching, modelling and testing of composite materials used in aerospace industry.
An automation enthusiast and a GNC expert with years of applied research experience across multiple world-renowned institutions including: JAXA, The University of Tokyo, and Khalifa University.
Control Systems Researcher with strong interest in high performance unmanned systems. He developed a few unprecedented unmanned systems capabilities that are patent pending. When he was with the industry, Chehadeh helped companies in their digital transformation and the automation of business workflows.