Abstract. Robots operating in complex environments shared with humans are confronted with numerous problems. One important problem is the identification of obstacles and interaction partners. In order to reach this goal, it can be beneficial to use data from multiple available sources, which need to be processed appropriately. Furthermore, such environments are not static. Therefore, the robot needs to learn novel objects. In this paper, we propose a method for learning and identifying obstacles based on multi-modal information. As this approach is based on Adaptive Resonance Theory networks, it is inherently capable of incremental online learning.
It is a global phenomenon that poverty is an everyday experience which can, however, be found universally amongst minorities, refugees and lower class migrants. All of these groups have in common the lack of access to a ‘normal life’ – an experience which can be even worse in countries where local hostilities are high due to economic scarcity and systemic racism. In this article, the author ranges widely over the poverty confronting refugees in Turkey who have fled the Syrian civil war, not least against the background of the country’s own opaque and inadequate legislation on refugees, which offers only temporary protection and greater precariousness as a result of the lack of formal employment opportunities; the continuing inequalities stemming from neoliberalism; the impact of the Covid-19 pandemic; and amidst the country’s own extraordinary politics. Focusing in particular on the decline experienced in the pandemic in terms of access to education and the decline in access to healthcare, the article concludes that providing real support for the poor is not realistic under existing political and economic approaches.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.