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Hesham Elsayed, Phillipp Hoffmann, Sebastian Günther, Martin Schmitz, Martin Weigel, Max Mühlhäuser, Florian Müller, "CameraReady: Assessing the Influence of Display Types and Visualizations on Posture Guidance ", Designing Interactive Systems Conference 2021 (DIS '21), pp. 10, 2021.

Abstract

Computer-supported posture guidance is used in sports, dance training, expression of art with movements, and learning gestures for interaction. At present, the influence of display types and visualizations have not been investigated in the literature. These factors are important as they directly impact perception and cognitive load, and hence influence the performance of participants. In this paper, we conducted a controlled experiment with 20 pa...



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Ahmad Cheraghi, Sahdia Shahzad, Kalman Graffi, "Past, Present, and Future of Swarm Robotics", Intelligent Systems Conference (IntelliSys) 2021, vol. 296, no. 3, pp. 190-233, 2021.

Abstract

Swarm Robotics is an emerging field of adapting the phenomenon of natural swarms to robotics and a study of robots to mimic natural swarms, like ants and birds, to form a scalable, flexible, and robust system. These robots show self-organization, autonomy, cooperation, and coordination amongst themselves. Additionally, their cost and design complexity factor must be as low as possible to reach systems similar to natural swarms. Further, the commu...



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Thomas Schmitt, Tobias Rodemann, Jürgen Adamy, "The Cost of Photovoltaic Forecasting Errors in Microgrid Control with Peak Pricing ", Energies, vol. 14, no. 9, 2021.

Abstract

Model predictive control (MPC) is widely used for microgrids or unit commitment due to its capability of respecting forecasts of loads and generation of renewable energies. However, while there are lots of approaches to account for uncertainties in these forecasts, their impact is rarely analyzed systematically. Here, we use a simplified linear state space model of a commercial building including a photovoltaic (PV) plant and real-world data fro...



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Yali Wang, Steffen Limmer, Duc Nguyen, Markus Olhofer, Thomas Bäck, Michael Emmerich, "Optimizing the maintenance schedule for a vehicle fleet: a simulation based case study", Engineering Optimization, 2021.

Abstract

Vehicle fleets, including cars, trucks, buses, support a diverse array of functions in the world of today. The rapid increase of vehicle fleets in the global transport sector has been seen in recent years. For a vehicle fleet, the maintenance plays a critical role, a good maintenance schedule can reduce related expenses, increase the efficiency of the assets, ensure consistent service delivery, and even reduce its carbon footprint. In this work, ...



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Sven Rebhan and Nils Einecke, "Engineered Decision Tree for Judging Spacecraft Collision Risks", 8th European Conference on Space Debris, 2021.

Abstract

In this talk, we will summarize our insights gathered during the ESA space collision avoidance challenge that took place end of 2019. After applying a wide set of techniques and algorithms we came to the conclusion that the structuring of train and test hampers automatic regression or machine learning. Thus, we rather implemented a step-by-step pipeline that is based on statistical and data analysis of the available data. This manual engineered p...



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Thomas Schmitt, Jens Engel, Matthias Hoffmann, Tobias Rodemann, "PARODIS: One MPC framework to control them all. Almost.", 2021 IEEE Conference on Control Technology and Applications (CCTA), pp. 466-471, 2021.

Abstract

We introduce the MATLAB framework PARODIS. It enables the use of various model predictive control approaches for discrete state space models. Special features are the support of distributed (hierachical) systems, scenario-based optimization and built-in methods for determination and selection of Pareto optimal solutions. It utilizes YALMIP to formulate the optimization problems....



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Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck, "Cooperative framework for many objective crash optimization", 14th World Congress of Structural and Multidisciplinary Optimization, 2021.

Abstract

Topology optimization with multiple objectives may yield a large set of Pareto optimal designs. Among other methods used to analyze and summarize the optimal solutions, clustering methods can be used to identify a few representative designs, which can be more easily reviewed by a designer. For example, Dommaraju et al. propose to select diverse designs based on geometric features. To generate the Pareto front, well-studied evolutionary algorithms...



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Antonello Ceravola and Frank Joublin, "From JSON to JSEN through Virtual Languages", Open Journal of Web Technologies (OJWT), vol. 8, no. 1, pp. 1-15, 2021.

Abstract

This paper describes JSEN, JavaScript Executable Notation, a data format suitable for storing executable code statements, which represents the counterpart of JSON, JavaScript Object Notation. JSEN and JSON complements each other. The former is a data format that we have created for representing executables/code, while, the latter is focused on representing objects/data. The two formats, JSON and JSEN, share some properties; we will reviewed them ...



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Rodrigo Canaan, "Diversity and Adaptation of Cooperative Agents", New York University, 2021.

Abstract

This thesis explores techniques and metrics for creating game-playing Artificial Intelligence (AI) systems that can model and adapt to diverse player behavior in a short time-frame, compatible with human play. We are interested in cooperative games and their relationship to artificial co-creativity, and provide a survey of metrics commonly used to evaluate co-creativity systems. We then focus on Hanabi, a cooperative card game by Antoine Bauza wh...



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Chao Wang, Thomas Weisswange, Matti Krüger, Christiane Wiebel, "Human-Vehicle Cooperation on Prediction-Level: Enhancing Automated Driving with Human Foresight", 32nd IEEE Intelligent Vehicles Symposium, 2021.

Abstract

To maximize safety and driving comfort, autonomous driving systems can benefit from implementing foresighted action choices that take different potential scenario developments into account. While artificial scene prediction methods are making fast progress, an attentive human driver may still be able to identify relevant contextual features which are not adequately considered by the system or for which the human driver may have a lack of trust e ...



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