Christiane Wiebel,
"Investigating Eye Movement Measures in the context of Human Machine Cooperation",
Colloquium at the Scene Grammar Lab, University of Franfurt, 2023.
Abstract
Today 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 summa...
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Sebastian Schmitt,
"Solving realistic application problems with quantum algorithms",
Univertity of Trento, Italy, 2023.
Abstract
Quantum 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.
Abstract
Combinatorial 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.
Abstract
Bayesian 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.
Abstract
While 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.
Abstract
When 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.
Abstract
The 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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Daniel Gordon, Andreas Christou, Theodoros Stouraitis, Michael Gienger, Sethu Vijayakumar,
"Learning Personalised Human Sit-to-Stand Motion Strategies via Inverse Musculoskeletal Optimal Control
",
IEEE International Conference on Robotics and Automation, 2023.
Abstract
Physically assistive robots and exoskeletons have
great potential to help humans with a wide variety of collabora-
tive tasks. However, a challenging aspect of the control of such
devices is to accurately model or predict human behaviour,
which can be highly individual and personalised. In this
work, we implement a framework for learning subject-specific
models of underlying human motion strategies using inverse
musculoskeletal optimal con...
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Chao Wang, Jörg Deigmöller, Pengcheng An, Julian Eggert,
"A User Interface for Sense-making of the Reasoning Process while Interacting with Robots",
CHI 2023, 2023.
Abstract
As knowledge graph has the potential to bridges the gap between commonsense knowledge and reasoning over actionable capabilities of mobile robotic platforms, incorporating knowledge graph into robotic system attracted increasing attention in recent years.
Previously, graph visualization is has been used wildly for developer to make sense of knowledge graph.
However, due to lacking the link between abstract knowledge with real world environment...
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Sebastian Brulin and Markus Olhofer,
"Bi-level Network Design for UAM Vertiport Allocation Using Activity-Based Transport Simulations",
The 6th International Electric Vehicle Technology Conference, 2023.
Abstract
The design of a future Urban Air Mobility (UAM) infrastructure plays an essential role when introducing a new mode of transportation. One key question is where to optimally allocate vertiport facilities to offer the best coverage, mode integration, and highest utilization for a new aerial transportation service. This paper presents a bi-level network design study in which the discrete decisions of the network design planner are optimized based on...
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