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 …

This paper addresses an approach to teaching embedded systems programming through a challenge-based competition involving robots. This pedagogical project distinguishes itself by incorporating international students from three international institutions through the Blended Intensive Program (BIP). The …

Issue In the Netherlands, the National Public Health Foresight Study (PHF) is published every 4 years, as starting point for national and local public health policy development. As these policies impact citizens’ health and lives, it is important to include their voices. We piloted an approach to strengthen …

This communication aims to provide a framework on how to integrate the concept of Circular Economy (CE) when addressing real-life urban challenges such as resource scarcity, greenhouse gas emissions, pollution, waste, and high consumerism (Williams, 2019), through delivery of courses to students of various …

In today’s competitive business environment, companies acknowledge the critical role that efficient sales management plays in driving revenue growth and sustaining a market position. The problem definition on which this research is based emerged from the increase of complaints related to the Sales Excellence …

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 …

Industry 4.0 has placed an emphasis on real-time decision making in the execution of systems, such as semiconductor manufacturing. This article will evaluate a scheduling methodology called Evolutionary Learning Based Simulation Optimization (ELBSO) using data generated by a Manufacturing Execution System …

This paper presents the implementation Problem-Based Learning (PBL) design in entrepreneurship and innovation management education, with a focus on enhancing students' innovative behavior and entrepreneurial orientation through the usage of different digital tools. A survey was conducted among 118 students …

This paper argues for a Problem Based Learning (PBL) design that promotes digital tool usage in entrepreneurship and innovation management education, in order to develop students’ innovative behavior and entrepreneurial orientation. Survey data were collected from 89 students in Germany, the Netherlands, …

The European Open Platform for Prescribing Education (EurOP2 E) seeks to improve and harmonize European clinical pharmacology and therapeutics (CPT) education by facilitating international collaboration and sharing problem-based, online, open educational resources. The COVID-19 pandemic forced teachers …