The objective of this report is to share the results of the test that we have made to evaluate the localization performance of the Spot robot across three scenarios, each featuring different velocities in both translation and rotation.
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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 the feasibility of using machine learning in a Raspberry Pi 4 Model B, solving the localization problem using images and fiducial markers (ArUco markers) in the context of the RobotAtFactory 4.0 competition. The approaches were validated using a realistically simulated scenario. Three algorithms were tested, and all were shown to be a good solution for a limited amount of data. Results also show that when the amount of data grows, only Multi-Layer Perception (MLP) is feasible for the embedded application due to the required training time and the resulting size of the model.
The importance of specific professions for human rights realization is increasingly recognized. Journalists, teachers, and civil servants are all considered to play a role because their work affects individual rights. This is also the case for social workers. The connection between social work and human rights is evident in the large amount of literature explaining how human rights relate to social work. At the same time there is more attention for human rights localization. These fields of knowledge are related: social workers are local professionals and if they start applying human rights in their work this may influence human rights localization. This article contributes to existing debates on human rights localization by reflecting on the potential role of social workers in local human rights efforts in the Netherlands. Since human rights localization in general and human rights application in social work are recent phenomena in the Netherlands this provides a useful case study for a qualitative analysis on whether and how social workers can be regarded as actors in human rights localization. By connecting different actors that are said to play a role in human rights localization to proposed forms of human rights application by social workers this article identifies three possible roles for social workers in human rights localization: as human rights translators, as human rights advocates, and as human rights practitioners.
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