Search our Publications
Latest Publications
Hesham Elsayed , "Computer-Supported Posture and Movement Guidance - Investigating visual/visuotactile guidance and informing the design of vibrotactile body-worn interfaces", Technical University of Darmstadt, Technical University of Darmstadt, pp. 247, 2023.
AbstractThis dissertation explores the use of interactive systems to support movement guidance, with applications in various fields such as sports, dance, physiotherapy, and immersive sketching. The research focuses on visual, haptic, and visuohaptic approaches and aims to overcome the limitations of traditional guidance methods, such as dependence on an expert and high costs for the novice. The main contributions of the thesis are (1) an evaluatio...
Download Bibtex file Per Mail Request
Tim Puphal , "Risk Models for Driver Support and Autonomous Driving", IEEE Intelligent Vehicle Symposium, IEEE Intelligent Vehicle Symposium, 2023.
AbstractRisk models are an integral part in driver support and autonomous driving vehicles. A general risk model can help to explain and generalize behavior planners for a wide range of driving situations. In this talk, I will explain how we intend to achieve such a risk model. In detail, I will explain the functionality of the current risk model we developed and show different applications, in which the risk models helps in improving functions in automo...
Download Bibtex file Per Mail Request
Noah Wach, Manuel Rudolph, Fred Jendrzejewski, Sebastian Schmitt , "Data Re-Uploading on with a single qudit", Quantum Machine Intelligence, 2023.
AbstractQuantum two-level systems, i.e. qubits, form the basis for most quantum machine learning approaches that have been proposed throughout the years. However, in some cases, higher dimensional quantum systems may prove to be advantageous. Here, we explore the capabilities of multi-level quantum systems, so-called qudits, for their use in a quantum machine learning context. We formulate classification and regression problems with the data re-uploadi...
Download Bibtex file
Christiane Wiebel and Martina Hasenjäger , "Exploring the Relationship Between Gaze and Movement Transitions During Natural Human Walking on Different Terrains", 44th European Conference on Visual Perception, 2023.
AbstractUnderstanding and predicting human walk behavior is an important prerequisite for a proper design of physical assist robot control. One challenge for such systems is the accurate and timely prediction of walk transitions. To improve models based on gait behavior only, prior work has investigated the effect of exploiting visual sensor data. Only few works have included human visual behavior, even though gaze plays a significant role for successful...
Download Bibtex file Per Mail Request
Thomas H Weisswange, Joel Schwartz von Sproutel, Aaron Horowitz, Jens Schmüdderich , "Telepresence Lantern - Designing an Immersive Video-Mediated Communication Device for Older Adults", ArXiv.org, 2023.
AbstractWe present the “Telepresence Lantern” concept, developed to provide opportunities for older adults to stay in contact with remote family and friends. It provides a new approach to video-mediated communication, designed to facilitate natural and ambient interactions with simplified call setup. Video communication is an established way to enhance social connectedness, but traditional approaches create a high friction to ...
Download Bibtex file
Nikolas Hohmann, Sebastian Brulin, Jürgen Adamy, Markus Olhofer , "Three-Dimensional Urban Path Planning for Aerial Vehicles Regarding Many Objectives", IEEE Open Journal on Intelligent Transportation Systems, vol. 4, pp. 639-352, 2023.
AbstractPlanning flight paths for unmanned aerial vehicles in urban areas requires consideration of safety, legal, and economic aspects as well as attention to social factors for gaining public acceptance. To solve this many-objective path planning problem in the three-dimensional space, we propose a hybrid framework combining an exact Dijkstra search and a metaheuristic evolutionary optimization. Given a start and an endpoint, we optimize a path regardi...
Download Bibtex file
Patricia Wollstadt and Matti Krüger , "Quantifying cooperation between artificial agents using synergistic information", 2022 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1044-1051, 2023.
AbstractWhen designing interactive human-machine sys- tems, it is often assumed that it is desirable for such systems to behave cooperatively towards a human operator in order to improve trust, acceptance, and usability, but also to increase task effi ciency. To design cooperative human-machine interaction (HMI) systems, we have to be able to defi ne and quantitatively describe cooperative behavior, for example, to control, optimize, or evaluate t...
Download Bibtex file
Anna Belardinelli, Chao Wang, Michael Gienger , "Explainable Human-Robot Interaction for imitation learning in Augmented Reality", 16th International Workshop on Human-Friendly Robotics, 2023.
AbstractImitation learning could enable non-expert users to teach new skills to robots in an interactive and intuitive way. Still, when teaching a task, it is often difficult to grasp what the robot knows or to assess if a correct task representation is being formed. To address this problem, suitable online feedback should be given by the robot to explain its perceptual beliefs. Here, we introduce an explainable design for human-robot interaction du...
Download Bibtex file Per Mail Request
Mariusz Bujny, Muhammad Salman Yousaf, Nate Zurbrugg, Duane Detwiler, Stefan Menzel, Satchit Ramnath, Thiago de Jesus de Araujo Rios, Fabian Duddeck , "Learning Hyperparameter Predictors for Similarity-based Multidisciplinary Topology Optimization", Scientific Reports, 2023.
AbstractTopology optimization (TO) plays a significant role in industry by providing engineers with optimal material distributions based exclusively on the information about the design space and loading conditions. Such approaches are especially important for current multidisciplinary design tasks in industry, where the conflicting criteria often lead to very unintuitive solutions. Despite the progress in integrating manufacturing constraints into TO, on...
Download Bibtex file
Julian Eggert, Jörg Deigmöller, Pavel Smirnov, Johane Takeuchi, Andreas Richter , "Memory Net: Generalizable Common-Sense Reasoning over Real-World Actions and Objects", International Conference on Knowledge Engineering and Ontology Development, 2023.
AbstractAbstract. We address the problem of situated reasoning of artificial agents (AA) in human-like environments. In particular, we want the AAs to reason about so-called action patterns in a real-world human environment: E.g., which tools can be used for a certain action, which actions can be performed with certain tools and objects, and so on. This should occur in a situated way, i.e., always referring to concrete instances in a real-world enviro...
Download Bibtex file
1 ... 36 37 38 39 40 41 ... 183
Follow us
