Controlled Natural Language Generation from a Multilingual FrameNet-based Grammar

This paper presents a currently bilingual but potentially multilingual FrameNet-based grammar library implemented in Grammatical Framework. The contribution of this paper is two-fold. First, it offers a methodological approach to automatically generate the grammar based on semantico-syntactic valence patterns extracted from FrameNet-annotated corpora. Second, it provides a proof of concept for two use cases illustrating how the acquired multilingual grammar can be exploited in different CNL applications in the domains of arts and tourism

Modular assembly with postponement to improve health, safety & productivity in construction

This paper presents the outcome of an engineering study as part of the design and development of a lean and agile construction system and in particular its supply chain component. This combines modular assembly with a postponement function to be tested on a case study project (not reported here), the objective of which is to improve health, safety and productivity for the company sponsoring the research. The contribution to research is the combination of countermeasures described in this paper that have been developed and incorporated into a wider construction system, in the same way that manufacturing has used this strategy with great success. Also, a further output is the development and use of an innovative method for assembling, transporting and installing mechanical and electrical modules, whereby modularization can be achieved with or without offsite manufacturing capability. The research forecasts a reduction of onsite labor of 35% compared to using traditional methods of construction, with less onsite operatives at risk of injury carrying out simpler assembly tasks within ergonomic mobile work cells. Further research is proposed to measure the benefits of the construction system following its implementation on a case study project

Compressive Sensing for Dynamic XRF Scanning

X-Ray Fluorescence (XRF) scanning is a widespread technique of high importance and impact since it provides chemical composition maps crucial for several scientific investigations. There are continuous requirements for larger, faster and highly resolved acquisitions in order to study complex structures. Among the scientific applications that benefit from it, some of them, such as wide scale brain imaging, are prohibitively difficult due to time constraints. However, typically the overall XRF imaging performance is improving through technological progress on XRF detectors and X-ray sources. This paper suggests an additional approach where XRF scanning is performed in a sparse way by skipping specific points or by varying dynamically acquisition time or other scan settings in a conditional manner. This paves the way for Compressive Sensing in XRF scans where data are acquired in a reduced manner allowing for challenging experiments, currently not feasible with the traditional scanning strategies. A series of different compressive sensing strategies for dynamic scans are presented here. A proof of principle experiment was performed at the TwinMic beamline of Elettra synchrotron. The outcome demonstrates the potential of Compressive Sensing for dynamic scans, suggesting its use in challenging scientific experiments while proposing a technical solution for beamline acquisition software.Comment: 16 pages, 7 figures, 1 tabl

Towards autonomous system: flexible modular production system enhanced with large language model agents

In this paper, we present a novel framework that combines large language models (LLMs), digital twins and industrial automation system to enable intelligent planning and control of production processes. Our approach involves developing a digital twin system that contains descriptive information about the production and retrofitting the automation system to offer unified interfaces of fine-granular functionalities or skills executable by automation components or modules. Subsequently, LLM-Agents are designed to interpret descriptive information in the digital twins and control the physical system through RESTful interfaces. These LLM-Agents serve as intelligent agents within an automation system, enabling autonomous planning and control of flexible production. Given a task instruction as input, the LLM-agents orchestrate a sequence of atomic functionalities and skills to accomplish the task. We demonstrate how our implemented prototype can handle un-predefined tasks, plan a production process, and execute the operations. This research highlights the potential of integrating LLMs into industrial automation systems for more agile, flexible, and adaptive production processes, while also underscoring the critical insights and limitations for future work

Art and Design Practices as a Driver for Deformable Controls, Textures and Screen Interactions

In this thesis, we demonstrate the innovative uses of deformable interfaces to help de-velop future digital art and design interactions. The great benefits of advancing digital art can often come at a cost of tactile feeling and physical expression, while traditional methods celebrate the diverse sets of physical tools and materials. We identified these sets of tools and materials to inform the development of new art and design interfaces that offer rich physical mediums for digital artist and designers. In order to bring forth these unique inter-actions, we draw on the latest advances in deformable interface technology. Therefore, our research contributes a set of understandings about how deformable interfaces can be har-nessed for art and design interfaces. We identify and discuss the following contributions: insights into tangible and digital practices of artists and designers; prototypes to probe the benefits and possibilities of deformable displays and materials in support of digital-physical art and design, user-centred evaluations of these prototypes to inform future developments, and broader insights into the deformable interface research.Each chapter of this thesis investigates a specific element of art and design, alongside an aspect of deformable interfaces resulting in a new prototype. We begin the thesis by studying the use of physical actuation to simulate artist tools in deformable surfaces. In this chapter, our evaluations highlight the merits of improved user experiences and insights into eyes-free interactions. We then turn to explore deformable textures. Driven by the tactile feeling of mixing paints, we present a gel-based interface that is capable of simulating the feeling of paints on the back of mobile devices. Our evaluations showed how artists endorsed the interactions and held potential for digital oil painting.Our final chapter presents research conducted with digital designers. We explore their colour picking processes and developed a digital version of physical swatches using a mod-ular screen system. This use of tangible proxies in digital-based processes brought a level of playfulness and held potential to support collaborative workflows across disciplines. To conclude, we share how our outcomes from these studies could help shape the broader space of art and design interactions and deformable interface research. We suggest future work and directions based on our findings

URBANO: A Tour-Guide Robot Learning to Make Better Speeches

—Thanks to the numerous attempts that are being made to develop autonomous robots, increasingly intelligent and cognitive skills are allowed. This paper proposes an automatic presentation generator for a robot guide, which is considered one more cognitive skill. The presentations are made up of groups of paragraphs. The selection of the best paragraphs is based on a semantic understanding of the characteristics of the paragraphs, on the restrictions defined for the presentation and by the quality criteria appropriate for a public presentation. This work is part of the ROBONAUTA project of the Intelligent Control Research Group at the Universidad Politécnica de Madrid to create "awareness" in a robot guide. The software developed in the project has been verified on the tour-guide robot Urbano. The most important aspect of this proposal is that the design uses learning as the means to optimize the quality of the presentations. To achieve this goal, the system has to perform the optimized decision making, in different phases. The modeling of the quality index of the presentation is made using fuzzy logic and it represents the beliefs of the robot about what is good, bad, or indifferent about a presentation. This fuzzy system is used to select the most appropriate group of paragraphs for a presentation. The beliefs of the robot continue to evolving in order to coincide with the opinions of the public. It uses a genetic algorithm for the evolution of the rules. With this tool, the tour guide-robot shows the presentation, which satisfies the objectives and restrictions, and automatically it identifies the best paragraphs in order to find the most suitable set of contents for every public profil

Hovering

Hovering is an attempt to navigate the contemporary digital environment through traditional means. The imagery created function as paintings, photographs, prints, and drawings. They explore and raise questions about visual perception and sensory awareness, as well as highlighting the modular limitations of the pixelated image and the illusion of reality in the digital landscape

Graphic Content Warning; Personal and Political Traumas

The written portion of this thesis work is meant to address and further investigate the visual work created using mediums of print and found video. This artistic research has been interested in examining varying associations with truth, recollection, and evidence. This includes the recollection of public histories and news-media narratives as well as my own history and trauma. Through this work my aim was to create a deconstruction and revolt against how associations are formed, and how to understand imagery as information. This thesis first discusses my relationship to appropriated imagery, then connects and examines it through the addition of poetic elements and events from my own lived experience

Web based knowledge extraction and consolidation for automatic ontology instantiation

The Web is probably the largest and richest information repository available today. Search engines are the common access routes to this valuable source. However, the role of these search engines is often limited to the retrieval of lists of potentially relevant documents. The burden of analysing the returned documents and identifying the knowledge of interest is therefore left to the user. The Artequakt system aims to deploy natural language tools to automatically ex-tract and consolidate knowledge from web documents and instantiate a given ontology, which dictates the type and form of knowledge to extract. Artequakt focuses on the domain of artists, and uses the harvested knowledge to gen-erate tailored biographies. This paper describes the latest developments of the system and discusses the problem of knowledge consolidation