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Tapabrata Ray, Hemant Kumar Singh, Kamrul Hasan Rahi, Tobias Rodemann, Markus Olhofer , "Towards identification of solutions of interest for multi-objective problems considering both objective and variable space information", Applied Soft Computing, vol. 119, 2022.
AbstractIn practical multi/many-objective optimization problems, a decision maker (DM) is often only interested in a handful of solutions of interest (SOI) instead of a large collection of trade-off solutions spanning the entire Pareto Front (PF). Optimization algorithms capable of searching for SOIs have so far considered selection measures based on objective space only, such as reflex angle, bend angle, expected marginal utility, etc. Depending on the ...
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Johannes Varga, Guenther Raidl, Steffen Limmer , "Computational Methods for Scheduling the Charging and Assignment of an On-Site Shared Electric Vehicle Fleet", IEEE Access, vol. 10, pp. 105786-105806, 2022.
AbstractWe investigate a fleet scheduling problem arising when a company has to manage its own fleet of electric vehicles. Aim is to assign given usage reservations to these vehicles and to devise a suitable charging plan for all vehicles while minimizing a cost function. We formulate the problem as a compact mixed integer linear program, which we strengthen in several ways. As this model is hard to solve in practice, we perform a Benders decomposition,...
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Heike Brock, Thomas H Weisswange, Serge Thill, Malte F. Jung, Aaron Horowitz , "Exploring the Roles of Robots for Embodied Mediation A Full-Day Workshop for ICRA 2022", IEEE International Conference on Robotics and Automation (ICRA 2022), 2022.
AbstractAs technology increasingly permeates our lives and demands more and more attention, it alters the very foundation of how we form and maintain our relationships with others. For example, robots and other embodied agents may attract social attention away from others as they are often particularly compelling to interact with. To envision technology that connects us, and enriches rather than disrupts our social lives, this workshop aims to dev...
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Anna Belardinelli, Chao Wang, Michael Gienger , "Explainable Human Robot Interaction for Imitation Learning in Augmented Reality", Horizons of an Extended Robotics Reality (XR2) (workshop @IROS2022), 2022.
AbstractImitation learning could enable non-expert users to teach new skills to robots in an interactive and intuitive way. Still, it is often diffi cult to grasp what the robot knows or to assess if a correct representation of the task is being formed. Here, we introduce an Explainable AI (XAI) design for human-robot interaction during learning by demonstration of simple kitchen tasks in Augmented Reality. AR-XAI cues are used to visualize the p...
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Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao , "A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems", IEEE Transactions on Evolutionary Computation, 2022.
AbstractThe capacitated arc routing problem (CARP) is a challenging combinatorial optimisation problem abstracted from many real-world applications, such as waste collection, road gritting and mail delivery. However, few studies considered dynamic changes during the vehicles’ service, which can cause the original schedule infeasible or obsolete. The few existing studies are limited by the dynamic scenarios considered, and by overly complicated algorithms...
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Radu Stoican, Angelo Cangelosi, Christian Goerick, Thomas H Weisswange , "Learning Human-Robot Interactions to improve Human-Human Collaboration", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) - Workshop on Human Theory of Machines and Machine Theory of Mind for Human-Agent Teams (TOM4HAT), 2022.
AbstractMost research in human-robot interaction focuses on either the single-human case or the multi-human case where there is direct interaction between the robot and each human. The multi-human scenario in which some of the humans depend on the robot, but do not interact with it directly, is currently less studied. In this paper, we introduce a human-human-robot collaboration task, in which the robot interacts directly with only one of the hum...
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Moritz Bühler, Jürgen Adamy, Thomas H Weisswange , "Theory of Mind Based Assistive Communication in Complex Human Robot Cooperation", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) - Workshop on Human Theory of Machines and Machine Theory of Mind for Human-Agent Teams (TOM4HAT), 2022.
AbstractWhen cooperating with a human, a robot should not only care about its environment and task but also develop an understanding of the partner’s reasoning. To support its human partner in complex tasks, the robot should share information. However simply communicating everything it knows might annoy and distract humans as not all information might be relevant or novel in a given situation. To decide when and what type of information should be ...
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Patricia Wollstadt, Mariusz Bujny, Satchit Ramnath, Jami J. Shah, Duane Detwiler, Stefan Menzel , "CarHoods10k: An Industry-grade Data Set for Representation Learning and Design Optimization in Engineering Applications", IEEE Transactions on Evolutionary Computation Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software (BENCH), 2022.
AbstractResearch and development of cutting-edge optimization frameworks that exploit the advances in novel machine learning methods is dependent on the availability of large data sets resembling the targeted application. Especially in the engineering domain such high quality data sets are rare due to confidentiality concerns and generation costs, be it computational or manual efforts. Here, we introduce the OSU-Honda Automobile Hood Dataset (CarHoods10k...
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Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt , "Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces", IEEE International Conference on Data Mining Workshops (ICDMW), 2022.
AbstractIdentifying meaningful concepts in large data sets can provide valuable insights into engineering design problems. Concept identification aims at identifying non-overlapping groups of design instances that are similar in a joint space of all features, but which are also similar when considering only subsets of features. These subsets usually comprise features that characterize a design with respect to one specific context, for example, construc...
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Yali Wang , "Multi-objective Evolutionary Algorithms for Optimal Scheduling", Leiden University, 2022.
AbstractThe research topic of the thesis is the extension of evolutionary multi-objective optimization for real-world scheduling problems. Several novel algorithms are proposed: the diversity indicator-based multi-objective evolutionary algorithm (DI-MOEA) can achieve a uniformly distributed solution set; the preference-based MOEA can obtain preferred solutions; the edge-rotated cone can improve the performance of MOEAs for many-objective optimization; a...
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