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Ahmed Sadik and Bram Bolder , "A self-adaptive system of systems architecture to enable its ad-hoc scalability - (Unmanned Vehicle Fleet - Mission Control Center Case study) ", the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI 2023), 2023.
AbstractThe concept of System of Systems (SoS) refers to a collection of Constituent Systems (CSs) that interact to deliver an emergent behavior that cannot be achieved by any individual CS on its own. The focus of this research is on the ad-hoc scalability of SoS, meaning that the size of the system can change during operation by adding or removing a CS or changing the size of existing CSs. The Unmanned Vehicle Fleet (UVF) is selected as a practical exa...
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Simon Kohaut, Benedict Flade, Julian Eggert, Devendra Dhami, Kristian Kersting , "Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs", 26th International Conference on Intelligent Transportation Systems (ITSC), 2023.
AbstractAdvanced Air Mobility (AAM) is a growing field that demands a deep understanding of legal, spatial and temporal concepts in navigation. Hence, any implementation of AAM is forced to deal with the inherent uncertainties of human-inhabited spaces. Enabling growth and innovation requires the creation of a system for safe and robust mission design, i.e., the way we formalise intentions and decide their execution as trajectories for the Unmanned Ae...
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Christiane Wiebel , "Investigating Human-Machine Cooperation", Scientific Colloquium SRH Heidelberg, 2023.
AbstractToday, intelligent systems are often designed to operate in interaction with human users instead of working autonomously. Recent research in human-machine interaction deals with the question on how to design this interaction in an optimal way and it has been hypothesized that designing the system to towards cooperation is beneficial in this respect (Bengler, 2012, Bütepage, 2017, Krüger, 2018, Sendhoff, 2020). In this talk, I will introduce a the...
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Christiane Wiebel , "Investigating Eye Movement Measures in the context of Human Machine Cooperation", Colloquium at the Scene Grammar Lab, University of Franfurt, 2023.
AbstractToday many Intelligent systems do not act autonomously but operate in interaction with a human user. Recent HMI research has hypothesized that such an interaction between human and machine is best reached by designing the system to behave cooperatively (Bengler, 2012, Bütepage, 2017, Krüger, 2018, Sendhoff, 2020). In this context, modelling the user is one important subtask and eye tracking measures are a popular tool. In this talk I will summari...
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Sebastian Schmitt , "Solving realistic application problems with quantum algorithms", Univertity of Trento, Italy, 2023.
AbstractQuantum technology has greatly matured in recent years and various quantum computing hardware platforms are nowadays available to end users. Currently, a very active and important research topic addresses how this technology could be utilized for solving realistic application problems relevant to industry. Apart from necessary but more technological challenges like scaling the number of qubits and developing efficient quantum error correction sch...
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Alberto Bottarelli, Mikel Garcia de Andoin, Sebastian Schmitt, Philipp Hauke, Mikel Sanz , "Solving the Electric vehicle charging and routing problem through qudit quantum computation ", Erice school on quantum technologies for fundamental physics , 2023.
AbstractCombinatorial optimization problems have attracted much interest in the quantum computing community in the recent years as a potential testbed to showcase quantum advantage. In this paper, we show how to exploit multilevel carriers of quantum information -- qudits -- for the construction of algorithms for constrained quantum optimization. These systems have been recently introduced in the context of quantum optimization and they allow us to treat...
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Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer , "Recent Advances in Bayesian Optimization", ACM Computing Surveys, 2023.
AbstractBayesian optimization has emerged at the forefront of expensive black-box optimization due to its data efficiency. Recent years have witnessed a proliferation of studies on the development of new Bayesian optimization algorithms and their applications. Hence, this paper attempts to provide a comprehensive and updated survey of recent advances in Bayesian optimization and identify interesting open problems. We categorize the existing work on Bayes...
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Sebastian Schmitt, Avetik Harutyunyan, Bernhard Sendhoff , "Quantum information technology: introduction and current state of research", Honda R&D Technical Review, 2023.
AbstractWhile quantum technologies have made great progress in recent years, several fundamental challenges remain unsolved today. At the same time, the benefit in case of a successful realization of quantum technologies for practical problems is expected to lead to major disruptions in many application domains. In this perspective paper, we first outline the principles underlying quantum information technology. Then, we describe specific application dom...
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Johannes Varga, Guenther Raidl, Elina Rönnberg, Tobias Rodemann , "Interactive Job Scheduling with Partially Known Personnel Availabilities", OLA 2023: Optimization and Learning, vol. 1824, no. 236--247, 2023.
AbstractWhen solving a job scheduling problem that involves many humans, the times in which they are available must be taken into account. For practical acceptance of a scheduling tool, it is further crucial that the interaction with the humans is kept simple and to a minimum. Requiring each users to fully specify her or his availability times is typically no reasonable option, nor can a user be requested to indicate possible job starting times from an e...
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Chao Wang , "Design for Collaborative Intelligence: From Connected Vehicle, Autonomous Driving, Robotics to AI", Shanghai Jiaotong University (Shanghai, China) master course online presentation, 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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