Search our Publications
Latest Publications
Matti Krüger, Martin Weigel, Michael Gienger , "Visuo-haptic AR for Enhanced Safety Awareness in Human-Robot Interaction", The Second International Workshop on Virtual, Augmented and Mixed Reality for Human-Robot Interaction , VAM-HRI, 2020.
AbstractIn this workshop submission, we describe our approach for developing a multimodal AR-system that combines visual and tactile cues in order to enhance the safety-awareness of humans in human-robot interaction tasks. Motivated by a competition for attentional resources between the need for safety-maintenance and achievement of a primary task, we employ multimodal cues that inform a user about unsafe proximities to dangerous areas. The system augmen...
Download Bibtex file
Muhammad Salman Yousaf, Mariusz Bujny, Nate Zurbrugg, Duane Detwiler, Fabian Duddeck , "Similarity control in topology optimization under static and crash loading scenarios", Engineering Optimization, 2020.
AbstractTopology Optimization (TO) redistributes the material within a design space to optimize certain objective functions under given constraints. The currently available TO methods do not consider the designer’s preferences about the final material layout in the optimized design. Contrarily, an improved design similar to a reference design is required because of the economic, manufacturing, or assembly restrictions. In this article, the proposed heur...
Download Bibtex file
Stefan Fuchs and Anna Belardinelli , "Gaze-based intention recognition for pick-and-place tasks in shared autonomy", Active Vision and perception in Human(-Robot) Collaboration Workshop @RO-MAN 2020 , 2020.
AbstractShared autonomy aims at combining robotic and human control in the execution of remote, teleoperated tasks. This cooperative interaction cannot be brought about without the robot first recognizing the current human intention in a fast and reliable way, so that a suitable assisting plan can be quickly instantiated and executed. Eye movements have long been known to be highly predictive of the cognitive agenda unfolding during manual tasks ...
Download Bibtex file
Christian Limberg, Heiko Wersing, Helge Ritter , "Beyond Cross Validation - Classifier's Accuracy Prediction for Benchmarking Incremental and Active Learning Models", Machine Learning and Knowledge Extraction, vol. 2, pp. 327-346, 2020.
AbstractFor incremental machine-learning applications it is often important to robustly estimate the system accuracy during training, especially if humans perform the supervised teaching. Cross-validation and interleaved test/train error are here the standard supervised approaches. We propose a novel semi-supervised accuracy estimation approach that clearly outperforms these two methods. We introduce the Configram Estimation (CGEM) approach to predi...
Download Bibtex file
Sander van Rijn and Sebastian Schmitt , "MF2: A Collection of Multi-Fidelity Benchmark Functions in Python", Journal of Open Source Software, 2020.
AbstractThe field of (evolutionary) optimization algorithms often works with expensive black-box optimization problems. Because of how computationally expensive they are, real-world problems are not a first choice to test on when developing new algorithms. Instead, benchmark functions such as Sphere, Rastrigin, and Ackley are used. These functions are not only fast to compute, but also have known landscape properties that can be taken into account w...
Download Bibtex file
Florian Floyd Mueller, Martin Weigel, Participants of Dagstuhl Seminar 18322 , "Next Steps in Human-Computer Integration", Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 2020.
AbstractHuman-Computer Integration (HInt) is an emerging paradigm in which computational and human systems are closely interwoven. Integrating computers with the human body is not new. However, we believe that with rapid technological advancements, increasing real-world deployments, and growing ethical and societal implications, it is critical to identify an agenda for future research. We present a set of challenges for HInt research, formulated over the...
Download Bibtex file
Stephen Friess, Peter Tino, Stefan Menzel, Bernhard Sendhoff, Xin Yao , "Improving Sampling in Evolution Strategies through Mixture-based Distributions built from Past Problem Instances", Parallel Problem Solving From Nature (PPSN), 2020.
AbstractThe notion of learning from different problem instances, although an old and known one, has in recent years regained popularity within the optimization community. Notable endeavors have been drawing inspiration from machine learning methods as a means for algorithm selection and solution transfer. However, surprisingly approaches which are centered around internal sampling models have not been revisited. Even though notable algorithms have been ...
Download Bibtex file
Jiawen Kong, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck , "Improving Imbalanced Classification by Anomaly Detection", Parallel Problem Solving from Nature (PPSN), 2020.
AbstractAlthough the anomaly detection problem can be considered as an extreme case of class imbalance problem, very few studies consider improving class imbalance classi cation with anomaly detection ideas. Most data-level approaches in the imbalanced learning domain aim to introduce more information to the original dataset by generating synthetic samples. However, in this paper, we gain additional information in another way, by introducing additional a...
Download Bibtex file
Baraq Mushtaq and Tobias Rodemann , "An Adversarial Optimization Approach for the Development of Robust Controllers", Applications of Evolutionary Computation. EvoApplications 2020, 2020.
AbstractDue to the increasing popularity of electric vehicles (EVs) there is rising demand for smart controller solutions that optimize the flow of energy between buildings and electric vehicles. Simple rule-based controllers are (often manually) developed and tuned for specific use case scenarios, for example a single family home with home and mobility usage patterns and country-specific regulations. However, it is often very difficult to correctly anti...
Download Bibtex file
Thomas Jatschka, Tobias Rodemann, Guenther Raidl , "VNS and PBIG as Optimization Cores in a Cooperative Optimization Approach for Distributing Service Points", Computer Aided Systems Theory – EUROCAST 2019, vol. 12013, pp. 255-262, 2020.
AbstractWe present a cooperative optimization approach for distributing service points in a geographical area with the example of setting up charging stations for electric vehicles. Instead of estimating customer demands upfront, customers are incorporated directly into the optimization process. The method iteratively generates solution candidates that are presented to customers for evaluation. In order to reduce the number of solutions, a surrogate obje...
Download Bibtex file
1 ... 67 68 69 70 71 72 ... 183
Follow us
