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Phillip Richter, Heiko Wersing, Anna-Lisa Vollmer , "Improving Human-Robot Teaching by Quantifying and Reducing Mental Model Mismatch", arXive, 2025.
AbstractThe rapid development of artificial intelligence and robotics has had a significant impact on our lives, with intelligent systems increasingly performing tasks traditionally performed by humans. Efficient knowledge transfer requires matching the mental model of the human teacher with the capabilities of the robot learner. This paper introduces the Mental Model Mismatch (MMM) Score, a feedback mechanism designed to quantify and reduce misma...
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Ahmed Sadik and Siddhata Govind , "Benchmarking LLM for Code Smells Detection: GPT-4 vs DeepSeek", nternational Conference on Evaluation and Assessment in Software Engineering (EASE), 2025.
AbstractDetermining which Large Language Model (LLM) is superior for code smell detection is a complex challenge. This study aims to establish a systematic methodology and evaluation matrix to address this question. We introduce a curated dataset containing smelly code implementations of identical scenarios across four major programming languages: Java, Python, JavaScript, and C++. Each dataset entry is annotated with known code smells, serving as ground...
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Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao , "Learning to Expand/Contract Pareto Sets in Dynamic Multiobjective Optimization With a Changing Number of Objectives", IEEE Transactions on Evolutionary Computation, 2025.
AbstractDynamic multiobjective optimization problems (DMOPs) with a changing number of objectives (NObjs) may have Pareto-optimal set (PS) manifold expanding or contracting over time. Knowledge transfer has been used for solving DMOPs, since it can transfer useful information from solving one problem instance to solve another related problem instance. However, we show that the state-of-the-art transfer approach based on heuristic lacks diversity on probl...
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Yufeng Jin, Vignesh Prasad, Mathias Franzius, Georgia Chalvatzaki , "6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting", International Conference on Computer Vision (ICCV), 2025.
AbstractEfficient and accurate object pose estimation is an es- sential component for modern vision systems in many ap- plications such as Augmented Reality, autonomous driving, and robotics. While research in model-based 6D object pose estimation has delivered promising results, model-free meth- ods are hindered by the high computational load in ren- dering and inferring consistent poses of arbitrary objects in a live RGB-D video stream. To addre...
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Chao Wang, Michael Gienger, Fan Zhang , "Autonomous Generation of Real-time Robotic Emotional Expressions via Human Demonstration in Mixed Reality", 34th IEEE International Conference on Robot and Human Interactive Communication, 2025.
AbstractExpressive behaviors in robots are critical for effectively conveying their emotional states during interactions with humans. In this work, we present a framework that autonomously generates realistic and diverse robotic emotional expressions based on expert human demonstrations captured in Mixed Reality (MR). Our system enables experts to teleoperate a virtual robot from a first-person perspective, capturing their facial expressions, head moveme...
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Anna Belardinelli, Chao Wang, Daniel Tanneberg, Stephan Hasler, Michael Gienger , "Train your robot in AR: insights and challenges for humans and robots in continual teaching and learning", Frontiers in Robotics and AI, 2025.
AbstractSupportive robots that can be deployed in our homes will need to be understandable, operable, and teachable by non-expert users. This calls for an intuitive Human-Robot Interaction approach that is also safe and sustainable in the long term. Still, few studies have looked at repeated, unscripted interactions in loosely supervised settings, with a robot incrementally learning from the user and consequentially expanding its knowledge and abilities....
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Derck Hong Da Chu and Chao Wang , "ARive: Assisting Drivers with In-Car Augmented Reality for Risk Zone Detection", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies , 2025.
AbstractUrban driving demands rapid decision-making, often hampered by human errors such as distraction and fatigue, risking safety and efficiency. A novel solution proposes using augmented reality (AR) to mitigate these risks by projecting dynamic risk zones around vehicles and pedestrians, directly into the driver's field of vision. This system aims to enhance driver awareness and promote defensive driving by visually indicating the movement of nearby ...
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Svenja Kenneweg, Jörg Deigmöller, Philipp Cimiano, Julian Eggert , "TRAVELER: A Benchmark for Evaluating Temporal Reasoning across Vague, Implicit and Explicit References", Springer Nature Computer Science , 2025.
AbstractUnderstanding and resolving temporal references is essential in Natural Language Understanding as we often refer to the past or future in daily communication. Although existing benchmarks address a systems ability to reason about and resolve temporal references, systematic evaluation of specific temporal references remains limited. Towards closing this gap, we introduce TRAVELER, a novel synthetic benchmark dataset that follows a Question Answer...
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Tobias Rodemann , "Future Roadmap für das Mechatronische Engineering Systems Engineering - Hinweise aus der aktuellen Forschungslandschaft", HS Aalen, 2025.
AbstractTalk at the HS Aalen on 13 January 2025 within the Mechatronics Seminar (in German)...
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Muhammad Ashfaq, Ahmed Sadik, Tommi Mikkonen, Muhammad Waseem, Niko Mäkitalo , "PrePrint - LLM-Enhanced Holonic Architecture for Self-Adaptive System of Systems", arXiv, 2025.
AbstractAs modern system of systems (SoS) become increasingly adaptive and human-centred, traditional architectures often struggle to support interoperability, reconfigurability, and effective human-system interaction. This paper addresses these challenges by advancing the state-of-the-art holonic architecture for SoS, offering two main contributions to support these adaptive needs. First, we propose a layered architecture for holons, which includes reas...
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