Accurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning …

Dit onderzoek richtte zich op het verschil in motorische gamevaardigheid tussen kinderen met een beperkte handfunctie en een licht tot geen beperkte cognitie (N=12), die gebruik maken van een aangepaste gamecontroller, en kinderen zonder beperking (N=15), die gebruik maken van een standaard gamecontroller. …

The use of machine learning in embedded systems is an interesting topic, especially with the growth in popularity of the Internet of Things (IoT). The capacity of a system, such as a robot, to self-localize, is a fundamental skill for its navigation and decision-making processes. This work focuses on …

Localization is a crucial skill in mobile robotics because the robot needs to make reasonable navigation decisions to complete its mission. Many approaches exist to implement localization, but artificial intelligence can be an interesting alternative to traditional localization techniques based on model …

The transition from the Organization for African Unity (OAU) to the African Union (AU) was a consequence of the changing peace and security agenda of the Pan-African organization. The African leaders desired a continental peace and security architecture, which would be capable of preventing, managing …

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