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.
Abstract
The 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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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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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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Tobias Rodemann, Hiroaki Kataoka , Thomas Jatschka, Guenther Raidl, Steffen Limmer, Hiromu Meguro,
"Optimizing the positions of battery swapping stations - Pilot studies and layout optimization algorithm ",
International Electric Vehicle Technology Conference (EVTeC) 2023, 2023.
Abstract
For electric scooters, battery swapping is a promising alternative to battery charging due to the lower weight and volume of their batteries that allow a manual replacement at battery swapping stations. Mobile batteries are shared between all users and the target of the operator is therefore to maximize the customer satisfaction while minimizing system set-up and operation costs. Here we give an overview of Honda’s activities for a Battery as a...
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Anna Belardinelli,
"Action in the eye of the beholder: what the gaze reveals about intentions and how it can be used",
NA, 2023.
Abstract
This is an invited talk at the University Carlos III Madrid...
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Christian Internó,
"Robust Non-Intrusive Load Monitoring for Industrial settings with high fidelity Simulations and Deep Learning ",
Universita degli Studi di Milano-Bicocca , 2023.
Abstract
Nowadays, we are observing the fourth industrial revolution 4.0, which integrates new production technologies to increase productivity and production quality. As a result, new Smart Companies are emerging, with data monitoring systems that are increasingly advanced and interconnected. Therefore, there is a growing need to develop advanced energy monitoring techniques to identify machinery behaviors by observing time series of generated data. Mode...
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