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Tuan Vu Pham, Thomas H Weisswange, Marc Hassenzahl , "Impact of Affirmative and Negating Robot Gestures on Perceived Personality, Role, and Contribution of a Human Group Member", ACM Designing Interactive Systems (DIS 2025), 2025.
AbstractThere is an interest in how robots could mediate human groups. We investigate how robot gestures influence the perception of a human member’s personality, role in the group, and contribution. In a vignette study (n=96), participants imagined being part of a group discussion and watched a short video of a group member making an argument. In one condition (affirmation) a robot nodded while the member spoke, in the other it shook its ...
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Sai Lokesh Kancharla, Sebastian Brulin, Markus Olhofer, Sanaz Mostaghim , "Optimization of Time-Variant Charging Station Placement Using Evolutionary Algorithms", Genetic and Evolutionary Computation Conference (GECCO), 2025.
AbstractThis paper introduces the optimization of time-variant placement of charging stations on a dynamic road network, where variables such as speed change over time. We use Uber Movement data from San Francisco which is aggregated into an hourly representation of a typical day by averaging the speed entries of edges for each hour, resulting in 24 snapshots of the network. The placement is optimized independently for each time period using an Evolution...
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Felix Ocker, Jörg Deigmöller, Pavel Smirnov, Julian Eggert , "A Grounded Memory System For Smart Personal Assistants", arXiv, 2025.
AbstractA wide variety of agentic AI applications – ranging from cognitive assistants for dementia patients to robotics – demand a robust memory system grounded in reality. In this paper, we propose such a memory system consisting of three components. First, we combine Vision Language Models for image captioning and entity disambiguation with Large Language Models for consistent information extraction during perception. Second, the extracted information...
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Raphael Wenzel and Malte Probst , "Spotting the Unfriendly Robot - Towards better Metrics for Interactions", ICRA 2025 Workshop on Advances in Social Robot Navigation, Planning, HRI, and Beyond., 2025.
AbstractEstablishing standardized metrics for Social Robot Navigation (SRN) algorithms for assessing the quality and social compliance of robot behavior around humans is essential for SRN research. Currently, commonly used evaluation metrics lack the ability to quantify how cooperative an agent behaves in interaction with humans. Concretely, in a simple frontal approach scenario, no metric specifically captures if both agents cooperate or if one agent st...
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Linus Ekstrom, Hao Wang, Sebastian Schmitt , "Variational Quantum Multi-Objective Optimization", Physical Review Research, 2025.
AbstractSolving combinatorial optimization problems using variational quantum algorithms to be executed on near-term quantum devices has gained a lot of attraction in recent years. Currently, most works have focused on single-objective problems. In contrast, many real-world problems need to consider multiple conflicting objectives simultaneously, which is not well studied using variation quantum algorithms. In multi-objective optimization, one seeks the ...
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Felix Ocker , "From Prompt to Production: LLM-based Agents in Engineering, Robotics and Manufacturing", VDI GMA 3.35 "Agentensysteme", 2025.
AbstractTBD, got invited to give an overview of some prior work at VDI GMA 3.35 (agent systems) fully remote, no costs incurred...
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Timm Lauser, Nergiz Yuca, Dustin Kern, Nikolay Matyunin, Stefan Katzenbeisser, Christoph Krauß , "Oblivious Plug&Charge: A Privacy-Preserving EV Charging Scheme based on ORAM", 3rd USENIX Symposium on Vehicle Security and Privacy (VehicleSec 25), pp. 221-232, 2025.
AbstractIn the rapidly developing Electric Vehicle (EV) charging infrastructure, ensuring user privacy during charging and billing processes has become a concern. Modern vehicles increasingly support Plug-and-Charge (PnC), a standard for direct authentication and billing of charging sessions without user interaction. However, within the PnC architecture, the exchange of sensitive data enables e-Mobility service providers and charging station operators to...
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Jose Almeida, Joao Soares, Steffen Limmer, Fernando Lezama, Sergio Ramos , "Integrating Autonomous Electric Vehicle Charging Stations in Local Energy Communities", International Conference on Power, Energy, and Electrical Engineering (CPEEE) 2025, 2025.
AbstractAutonomous electric vehicles (AEVs) represent a transformative technology that must be carefully considered in the design of modern energy management systems. Addressing the challenges associated with AEVs and their charging infrastructure while leveraging the opportunities they present is crucial. In this study, we propose the integration of inductive AEV charging stations into multiple local energy communities, treating these stations as commun...
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Ehsan Aliyan, Jose Almeida, Steffen Limmer, Sergio Ramos, Joao Soares , "Optimal Formation of Energy Communities under Technical-Spatial Constraints", International Conference on Power, Energy, and Electrical Engineering (CPEEE) 2025, 2025.
AbstractThe growing incorporation of renewable energy sources, electric vehicles, and energy storage systems within modern power systems has amplifi ed the need for effi cient energy management frameworks. This paper presents a novel optimization approach for clustering prosumers into energy community groups to enhance self-suffi ciency, operational efficiency, and economic performance. The proposed framework incorporates an initial number of prosumers w...
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Jose Almeida, Joao Soares, Fernando Lezama, Steffen Limmer, Tobias Rodemann, Zita Vale , "A Systematic Review of Explainability in Computational Intelligence for Optimization", Computer Science Review, vol. 57, 2025.
AbstractThis systematic review explores the need for explainability in computational intelligence methods for optimization such as metaheuristics optimizers including evolutionary algorithms and swarm intelligence. The work is focusing on four research questions: 1) the contribution of Explainable AI (XAI) methods to interpreting metaheuristic performance; 2) the influence of problem features on search behavior and explainability; 3) the role of mathemat...
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