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Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao , "A Novel Optimization Framework for Dynamic Capacitated Arc Routing Problems", Genetic and Evolutionary Computation Conference Companion (GECCO Companion), 2023.
AbstractThe capacitated arc routing problem (CARP) aims at scheduling a fleet of vehicles with limited capacities to serve a set of tasks in a graph. The dynamic CARP (DCARP) optimization focuses on updating the vehicles’ service routes when unpredicted dynamic events happen and deteriorate the current service plan. Due to the outside vehicles are still being in their service when dynamic events happen and being located at different positions of the gr...
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Chao Wang , "Design for Collaborative Intelligence: From Connected Vehicle, Autonomous Driving, Robotics to AI ", University of Nottingham Ningbo China Science and Technology Open Day, 2023.
AbstractThe goal of the intelligent system should be to enhance human capabilities, not replace them. There is much more scope for humans and AI to complement each other than to compete, as their advantages lie in different aspects. This complementarity can be called Collaborative Intelligence (CI), which enables machines to achieve goals together with humans in complex environments. CI requires mutual understanding and seamless communication between the...
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Steffen Limmer , "Bilevel Large Neighborhood Search for the Electric Autonomous Dial-a-Ride Problem", Transportation Research Interdisciplinary Perspectives, vol. 21, 2023.
AbstractThe electric autonomous dial-a-ride problem (E-ADARP) represents a challenging and practically relevant extension of the dial-a-ride problem, which takes electric vehicle charging into account. It introduces battery constraints and the option to recharge vehicles at different charging stations. The present paper proposes a bilevel large neighborhood search approach (BI-LNS) for the E-ADARP. In the outer level of the proposed approach, charging se...
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Daniel Tanneberg and Michael Gienger , "Learning Type-Generalized Actions for Symbolic Planning", IEEE/RSJ International Conference on Intelligent Robots and Systems, 2023.
AbstractSymbolic planning is a powerful technique to solve complex tasks that require long sequences of actions and can equip an intelligent agent with complex behavior. The downside of this approach is the necessity for suitable symbolic representations describing the state of the environment as well as the actions that can change it. Traditionally such representations are carefully hand-designed by experts for distinct problem domains, which limits t...
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Claudio Maffi and Jens Engel , "Evaluation and comparison of PV prediction quality of a sky imager", HRI-EU, 2023.
AbstractOn the premises of Honda R&D Germany in Offenbach, Main, a large photovoltaic (PV) system with a peak power of 750kW is installed. The PV system is connected to an energy management system (EMS), which manages how electric energy is distributed and stored in the building. In order to use efficiently the green energy provided by the PV system into the EMS, accurate predictions about the accessibile PV power are requested. Currently a meteorolo...
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Chao Wang and Derck Hong Da Chu , "Visualizing risk areas using augmented reality glasses as advanced driver-assistance system", AUTO UI 23, 2023.
AbstractIn complex driving scenarios, drivers often face the challenge of making quick decisions regarding the safety of crossing intersections or entering roundabouts. These decisions, prone to human error, can compromise road safety and driving efficiency. The recent advancements in augmented reality (AR) glasses hold significant potential for assisting drivers in avoiding such dangers. Unlike traditional AR heads-up displays (HUDs), AR glasses provide...
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Muhammad Haris , "Visual Localization and Mapping in Seasonally Changing Outdoor Environments", UAS Frankfurt, 2023.
AbstractVisual localization and mapping refer to locating an agent in a scene and creating a representation of its surroundings using a camera as the primary source of perception. Localization and mapping are the fundamental prerequisites for autonomous robots, self-driving cars, and augmented reality applications. Despite decades of research and development in this domain, even state-of-the-art vision-based approaches strug- gle to perform in chall...
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Qiqi Liu, Felix Lanfermann, Tobias Rodemann, Markus Olhofer, Yaochu Jin , "Surrogate-Assisted Many-objective Optimization of Building Energy Management", IEEE Computational Intelligence Magazine, vol. 18, no. 4, pp. 14-28, 2023.
AbstractBuilding energy management usually involves a number of objectives such as investment costs, thermal comfort, system resilience, battery life, and many others. However, most existing studies merely consider optimizing less than three objectives since it becomes increasingly difficult as the number of objective increases. In addition, the optimization of building energy management heavily relies on time-consuming energy simulators, posing great ch...
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Guo Yu, Yaochu Jin, Markus Olhofer, Qiqi Liu, Wenli Du , "Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis", IEEE Transactions on Cybernetics, vol. 53, no. 4, pp. 2480-2493, 2023.
AbstractIn multiobjective decision making, most knee identification algorithms implicitly assume that the given solutions are well distributed and can provide sufficient information for identifying knee solutions. However, this assumption may fail to hold when the number of objectives is large or when the shape of the Pareto front is complex. To address the above issues, we propose a knee-oriented solution augmentation (KSA) framework that converts the P...
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David Rother, Jan Peters, Thomas H Weisswange , "Disentangling Interaction using Maximum Entropy Reinforcement Learning in Multi-Agent Systems", 26th European Conference on Artificial Intelligence (ECAI 2023), pp. 1994-2001, 2023.
AbstractResearch on multi-agent interaction involving multiple humans is still in its infancy. Most recent approaches have focused on environments with collaboration-focused human behavior, or providing only a small, defined set of situations. When deploying robots in general human-inhabited environments in the future it will be unlikely that all intentions can be guaranteed to fit a pre-defined model of collaboration while one might still expect a rob...
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