The approval of vaccines for emergency use signifies a great milestone to end the COVID-19 pandemic. However, less than 2% of the global vaccines have been administered in Africa, putting the continent in a precarious situation in the eventuality of another wave that may consume its health system. There is still an enormous task in Africa in the face of vaccine nationalism. In most countries, vaccine acquisition and deployment have been suboptimal. Leaving out Africa in the race to achieve global herd immunity may be catastrophic. Stakeholders must continue engagement to ensure a successful deployment of the vaccines on the continent. There is a need to build capacity in Africa for rapid vaccine development and deployment in the long term.
Abstract:In this paper, we investigate the use of adaptive techniques in the optimization of navigation of Khepera mobile robot in an unstructured and dynamic environment. We optimize the performance of our simplified fuzzy controller using neural network that utilizes genetic algorithm learning. The adaptation of the system involves the tuning of the control rules thereby trimming the control actions, and adjusting the fuzzy controller output gain. We realised an improved performance in our adaptive neuro-fuzzy controller with genetic training for various implemented behaviours on the robot.
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