The number of applications in which industrial robots share their working environment with people is increasing. Robots appropriate for such applications are equipped with safety systems according to ISO/TS 15066:2016 and are often referred to as collaborative robots (cobots). Due to the nature of human-robot …

How do we educate those who feel an urgency to address our environmental and social challenges? What ethical concerns do art-makers face who are committed to a deep green agenda? How can we refocus education to emphasize integrative thinking and inspire hope? What role might art play in actualizing environmental …

Adverse Outcome Pathways (AOPs) are conceptual frameworks that tie an initial perturbation (molecular initiat- ing event) to a phenotypic toxicological manifestation (adverse outcome), through a series of steps (key events). They provide therefore a standardized way to map and organize toxicological …

Promoting inclusive school cultures and, more specifically, addressing inequality of opportunity is high on the European education agenda. Equipping teachers to be able to identify and address inequality of opportunity requires them to develop sensitivity, multi-perspectivity and agency, and these are …

Inequality of opportunity is high on the European education agenda. Equipping teachers to be able to identify and address inequality requires them to develop sensitivity, multi-perspectivity and agency, and these are complex attributes that require personal experiences and deep reflection. Recognizing …

The goal of this study was to develop an automated monitoring system for the detection of pigs’ bodies, heads and tails. The aim in the first part of the study was to recognize individual pigs (in lying and standing positions) in groups and their body parts (head/ears, and tail) by using machine learning …

We present a novel architecture for an AI system that allows a priori knowledge to combine with deep learning. In traditional neural networks, all available data is pooled at the input layer. Our alternative neural network is constructed so that partial representations (invariants) are learned in the …

Industrial robot manipulators are widely used for repetitive applications that require high precision, like pick-and-place. In many cases, the movements of industrial robot manipulators are hard-coded or manually defined, and need to be adjusted if the objects being manipulated change position. To increase …

Masonry structures represent the highest proportion of building stock worldwide. Currently, the structural condition of such structures is predominantly manually inspected which is a laborious, costly and subjective process. With developments in computer vision, there is an opportunity to use digital …

An illustrative non-technical review was published on Towards Data Science regarding our recent Journal paper “Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning”. While new technologies have changed almost every aspect of our …