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Benedict Flade, Simon Kohaut, Julian Eggert, Devendra Dhami, Kristian Kersting , "StaR Maps: Unveiling Uncertainty in Geospatial Relations", 27th IEEE International Conference on Intelligent Transportation Systems, 2024.
AbstractAs the complexity of intelligent transportation systems and their applications in public spaces increases, so do their demands for expressive and versatile knowledge representation. While various mapping efforts have achieved widespread coverage, including detailed annotation of features with semantic labels, it is essential to understand their inherent uncertainties, which are commonly underrepresented by the respective geographic information s...
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Maria Bresich, Johannes Varga, Guenther Raidl, Steffen Limmer , "Mixed Integer Linear Programming Based Large Neighborhood Search Approaches for the Directed Feedback Vertex Set Problem ", 9th International Conference on Metaheuristics and Nature Inspired Computing (META), pp. 3-20, 2024.
AbstractA directed feedback vertex set (DFVS) of a directed graph is a subset of vertices whose removal makes the graph acyclic. Finding a DFVS of minimum cardinality is the goal of the directed feedback vertex set problem, an NP-hard combinatorial optimization problem. We first consider two mixed integer linear programming (MILP) models for this problem, which, when solved with Gurobi, are effective on graphs of small to medium complexity but do not ...
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Sina Zarriess, Nazia Attari, Heiko Wersing, Judith Sieker, Simeon Schüz, Hendrik Buschmeier , "The Illusion of Competence: Evaluating the Effect of Explanations On Users' Mental Models of Visual Question Answering Systems", 2024.
AbstractIn our study, we examine how participants/users perceive the limitations of an AI system when it encounters tasks it cannot perform perfectly. Our objective is to investigate whether providing explanations alongside model answers aids users in building an appropriate mental model of an AI's limitations. To accomplish this, we employ a visual question explanation task and evaluate both the accuracy of the models' answers and the effectiveness of t...
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Sebastian Schmitt , "Variational Quantum multi-objective optimization", GI-Fachgruppe Quantencomputing monthly meeting, 2024.
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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Phillip Richter, Anna-Lisa Vollmer, Heiko Wersing , "Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot Teaching", Proc. Conf. on Human Agent Interaction, 2024.
AbstractUnderstanding and accurately modeling human mental models of robot architecture and function is of major importance for the advancement of HRI. The development of a score for discrepancies in mental models represents a novel and valuable tool to diagnose and address discrepancies in these mental models. This work studies the use of a Mental Model Score as Feedback to Users during teaching of a simple game similar to Sudoku to a virutual agent....
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Leonore Röseler and Aniko Hannak , "With a Little Help from My Intelligent Assistant - The Impact of Assistance Systems on Individuals and Teams", 2024.
AbstractSignificant advancements in computing power, improvements of algorithms - particularly in Deep Learning - have rekindled interest and developments in the AI field. The availability of big data through our interactions with systems, devices and platforms leaving digital traces has been a fuel to the development. The COVID-19 pandemic certainly also accelerated the digital transformation towards more reliance on remote solutions. With the pandemic...
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Sebastian Schmitt, Steve Lenk, Marika Federer , "Report on formulation of realistic bi-directional EV charging problems with qudits ", NeQST Project Report , 2024.
AbstractTBD NeQST project deliverable specifying EV charging problems to be considered within NeQST project ...
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Saif Sidhik, Mohan Sridharan, Dirk Ruiken , "An Adaptive Framework for Trajectory Following in Changing-Contact Robot Manipulation Tasks", Robotics and Autonomous Systems, vol. 181, pp. 104785, 2024.
AbstractWe describe an adaptive control framework for changing-contact robot manipulation tasks that require the robot to make and break contacts with objects and surfaces. The piecewise continuous interaction dynamics of such tasks make it difficult to construct and use a single dynamics model or control strategy, and the nonlinear dynamics during contact changes can damage the robot or the domain objects. Our framework enables the robot to incrementall...
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, "CoPal: Planning Robot Actions using Large Language Models", Github website, 2024.
AbstractFor pub-5485 we'd like to request permission for a GitHub website on the HRI-EU github account. The web-site will be set up similarly to this one: https://innermonologue.github.io/ and contain information about the paper contribution, links to the paper ans accompanying material, links to accompanying software, as well as links to accompanying video material from the HRI youtube channel. We will set it up as "github pages" site that combin...
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Thiago de Jesus de Araujo Rios , "Switching Gears: From Mechanical Engineering to AI and Optimization", Federal University of Santa Catarina (UFSC), Brazil, 2024.
AbstractPlanning our career is often a very challenging task and depends on many factors, such as our personal interests, opportunities, and work-life balance. From Mechanical Engineering freshman to becoming a senior scientist, I had the chance to work in different fields of engineering and learned to be open to learn skills from new domains, such as Computer Science. In this talk, I will share some of the milestones and opportunities that molded my car...
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