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Jan Leusmann, Chao Wang, Sven Mayer , "Comparing Rule-based and LLM based Methods to enable Active Robot Assistant Conversations", Workshop@CHI 2024: Building Trust in CUIs – From Design to Deployment , 2024.
AbstractHuman-robot interaction (HRI) has recently undergone major advancements. Robots are not only autonomous agents anymore, but the domain is shifting more and more towards collaborative settings. Advancements in different topics have enabled the possibility of this shift. Robots can now perform various tasks to support humans in their daily lives. However, in collaborative settings, communication is key. In human-human collaborative settings, we oft...
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Svenja Kenneweg, Jörg Deigmöller, Philipp Cimiano, Julian Eggert , "An Empirical Study on Vague Deictic Temporal Adverbials", Cognitive Aspects of the Lexicon, 2024.
AbstractTemporal adverbial phrases such as recently and some time ago have a special function in communication and temporal cognition. These adverbials are deictic, in that their meaning is tied to their time of utterance; and they are vague, in that the time periods to which they apply are under-specified in comparison to expressions such as yesterday, which precisely indicates the day before the day of utterance. Despite their vagueness, conversatio...
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Ahmed Sadik, Muhammad Ashfaq, Tommi Mikkonen, Muhammad Waseem, Niko Mäkitalo , "Preprint - Holon Programming Model: A Software-Defined Approach for System of Systems", arXiv, 2024.
AbstractAs Systems of Systems (SoSs) evolve into increasingly complex networks, harnessing their collective potential becomes paramount. Traditional SoS engineering approaches lack the necessary programmability to develop third-party SoS-level behaviours. To address this challenge, we propose a software-defined approach to enable flexible and adaptive programming of SoS. We introduce the Holon Programming Model (HPM), a software-defined framework design...
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Ahmed Sadik, Sebastian Brulin, Markus Olhofer, Antonello Ceravola, Frank Joublin , "Preprint - LLM as a code generator in Agile Model Driven Development", arXiv, 2024.
AbstractLeveraging Large Language Models (LLM) like GPT-4 in the auto-generation of code represents a signifi cant advancement, yet it is not without its challenges. The ambiguity inherent in natural language descriptions of software poses substantial obstacles to generating deployable, structured artifacts. This research champions Model-Driven Development (MDD) as a viable strategy to overcome these challenges, proposing an Agile Model-Driven Developmen...
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Nikolas Hohmann , "Three-dimensional Many-objective Path Planning and Traffic Network Optimization for Urban Air Mobility Applications Under Social Considerations", Technical University of Darmstadt, 2024.
AbstractThis dissertation proposes and investigates solution approaches to two problems in urban air mobility, considering the different perspectives of many stakeholders, including societal interests. The many-objective path planning problem seeks Pareto-optimal, three-dimensional, and smooth paths connecting two given locations in the city. The multi-objective traf-fi c network optimization problem searches for Pareto-optimal and three-dimensional tran...
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Thiago de Jesus de Araujo Rios, Felix Lanfermann, Stefan Menzel , "Large Language Model-assisted Surrogate Modelling for Engineering Optimization", IEEE Conference on Artificial Intelligence, 2024.
AbstractEngineers often utilize data-driven surrogate models in optimization to partially replace the costly computational simulations of physics-based models. However, different aspects affect the accuracy and prediction capability of the surrogate models, e.g., the dimensionality of the data and nonlinearities in the mapping between input and output. Learning well-performing models by selecting appropriate techniques to fit the data benefits from the m...
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Sebastian Schmitt , "Quantum Computing For Industrial Applications", Applied Quantum Computing Workshop, 2024.
AbstractQuantum technology has greatly matured in recent years and various quantum computing hardware platforms are nowadays available to end users. Currently, a very active and important research topic addresses how this technology could be utilized for solving realistic application problems relevant to industry. Apart from necessary but more technological challenges like scaling the number of qubits and developing efficient quantum error correction sch...
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Alistair Benford, Markus Olhofer, Per Kristian Lehre, Tobias Rodemann , "Bicriteria optimisation of average and worst-case performance using coevolutionary algorithms", IEEE WCCI 2024, 2024.
AbstractA common aim in real-world optimisation problems is to seek a solution which offers the highest performance in the worst-case scenario. Competitive coevolution evolves a population of solutions alongside a population of difficult scenarios in order to find so-called robust solutions. However, solutions with maximal worst-case performance may be excessively conservative and thus exhibit poor performance on more typical scenarios. Existing evolutio...
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Linus Ekstrom, Hao Wang, Sebastian Schmitt , "Variational Quantum multi-objective optimization", QTech Berlin Conference, 2024.
AbstractIntroduction Solving combinatorial optimization problems on near-term quantum devices has gained a lot of attraction in recent years. Currently, most works have focused on single-objective problems, whereas many real-world applications need to consider multiple conflicting objectives, such as, cost and quality. Methods We present a variational quantum optimization algorithm to solve discrete multi-objective optimization problems. The pro...
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Tuan Vu Pham, Thomas H Weisswange, Marc Hassenzahl , "Embodied Mediation in Group Ideation – A Gestural Robot Can Facilitate Consensus-Building", ACM Conference on Designing Interactive Systems (DIS 2024), pp. 2611-2632, 2024.
AbstractGroup ideation requires complex interaction among group members. This paper explores how a gesture-based robot impacts such group interaction. A small robot mounted on a whiteboard responded with six different gestures (e.g., nodding, shaking its head, following speakers with gaze) to specific situations in group ideation sessions (five groups, three participants each). We coded the participants’ interaction with the Interaction Dynamics Notation...
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