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Ansah, Alberta A. (author), Vivacqua, Adriana S. (author), Zhong, Sailin (author), Boll, Susanne (author), Constantinides, Marios (author), Verma, H. (author), El Ali, Abdallah (author), Lushnikova, Alina (author), Alavi, Hamed (author)The COVID-19 pandemic led to a sudden shift to virtual work and events, with the last two years enabling an appropriated and rather simulated togetherness - the hybrid mode. As we return to in-person events, it is important to reflect on not only what we learned about technologies and social justice, but about the types of events we desire,...conference paper 2023
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Chen, Qinyu (author), Wang, Zuowen (author), Liu, Shih Chii (author), Gao, C. (author)This paper presents a sparse Change-Based Convolutional Long Short-Term Memory (CB-ConvLSTM) model for event-based eye tracking, key for next-generation wearable healthcare technology such as AR/VR headsets. We leverage the benefits of retina-inspired event cameras, namely their low-latency response and sparse output event stream, over...conference paper 2023
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Safa, Ali (author), Van Assche, Jonah (author), Frenkel, C. (author), Bourdoux, Andre (author), Catthoor, Francky (author), Gielen, Georges (author)Level-crossing analog-To-digital converters (LC-ADCs) are neuromorphic, event-driven data converters that are gaining much attention for resource-constrained applications where intelligent sensing must be provided at the extreme edge, with tight energy and area budgets. LC-ADCs translate real-world analog signals (such as ECG, EEG, etc.) into...conference paper 2023
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- Ngo, Hieu (author), Bomers, Anouk (author), Augustijn, Dennie CM. (author), Ranasinghe, Roshanka (author), Filatova, T. (author), Hulscher, Suzanne J.M.H. (author) conference paper 2022
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Dupeyroux, J.J.G. (author), Dinaux, Raoul (author), Wessendorp, Nikhil (author), de Croon, G.C.H.E. (author)In this paper, we introduce the Obstacle Detection and Avoidance (ODA) Dataset for Drones, aiming at providing raw data obtained in a real indoor environment with sensors adapted for aerial robotics in the context of obstacle detection and avoidance. Our micro air vehicle (MAV) is equipped with the following sensors: (i) an event-based camera...conference paper 2022
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Jarne Ornia, D. (author), Mazo, M. (author)We present an approach to reduce the communication of information needed on a Distributed Q-Learning system inspired by Event Triggered Control (ETC) techniques. We consider a baseline scenario of a Distributed Q-Learning problem on a Markov Decision Process (MDP). Following an event-based approach, N agents sharing a value function explore the...conference paper 2022
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de Albuquerque Gleizer, G. (author), Madnani, K.N. (author), Mazo, M. (author)This paper studies the reduction (abstraction) of finite-state transition systems for control synthesis problems. We revisit the notion of alternating simulation equivalence (ASE), a more relaxed condition than alternating bisimulations, to relate systems and their abstractions. As with alternating bisimulations, ASE preserves the property...conference paper 2022
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Delimpaltadakis, Giannis (author), de Albuquerque Gleizer, G. (author), Van Straalen, Ivo (author), Mazo, M. (author)We present ETCetera, a Python library developed for the analysis and synthesis of the sampling behaviour of event triggered control (ETC) systems. In particular, the tool constructs abstractions of the sampling behaviour of given ETC systems, in the form of timed automata (TA) or finite-state transition systems (FSTSs). When the abstraction...conference paper 2022
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Ham, P.H. (author)In the overpopulated deltas of the Philippines people live in are-as that see floods regularly. The floods are being caused by a com-bination of tides, heavy rainfall and land subsidence. The demand for safe and affordable housing is immense, yet available dry land is scarce. By implementing floating homes in vacant former rice fields,...conference paper 2022
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Jarne Ornia, D. (author), Mazo, M. (author)We present an approach to safely reduce the communication required between agents in a Multi-Agent Reinforcement Learning system by exploiting the inherent robustness of the underlying Markov Decision Process. We compute robustness certificate functions (off-line), that give agents a conservative indication of how far their state measurements...conference paper 2022
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Verheyen, Jan K.N. (author), Dupeyroux, J.J.G. (author), de Croon, G.C.H.E. (author)Insects have—over millions of years of evolution—perfected many of the systems that roboticists aim to achieve; they can swiftly and robustly navigate through different environments under various conditions while at the same time being highly energy efficient. To reach this level of performance and efficiency, one might want to look at and...conference paper 2022
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Lee, J. (author), Mitici, M.A. (author)As aircraft maintenance is transitioning towards data- driven condition-based maintenance (CBM), its cost and performance objectives need to be re-evaluated: how are these objectives related under various CBM strategies?; which objectives are conflicting?; what are the trade-offs between the conflicting objectives?; what is the impact of this...conference paper 2021
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Domazetovska, Simona (author), Gavriloski, Viktor (author), Jovanova, J. (author)The artificial intelligence (AI) field has encountered a turning point mainly due to advancements in machine learning, which allows systems to learn, improve, and perform a specific task through data without being explicitly programmed. Machine learning can be utilized with machining processes to improve product quality levels and...conference paper 2021
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van der Linden, J.G.M. (author), Mulderij, J. (author), Huisman, B. (author), Den Ouden, Joris W. (author), Van Den Akker, Marjan (author), Hoogeveen, Han (author), de Weerdt, M.M. (author)When trains are finished with their transportation tasks during the day, they are moved to a shunting yard where they are routed, parked, cleaned, subject to regular maintenance checks and repaired during the night. The resulting Train Unit Shunting and Servicing problem motivates advanced research in planning and scheduling in general since...conference paper 2021
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Shishkov, Boris (author), Branzov, Todor (author), Ivanova, Krassimira (author), Verbraeck, A. (author)Disruptive Events (DE), such as disasters, virus outbreaks, and military conflicts, are often hugely affecting human life, and works featuring resilience against DE are receiving much attention. A key priority in this regard is the effective monitoring of the affected systems' state after a DE has occurred. Earlier work shows relevant strengths...conference paper 2021
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Balakrishnan, Aneesh (author), Cardoso Medeiros, G. (author), Cem Gursoy, Cemil (author), Hamdioui, S. (author), Jenihhin, Maksim (author), Alexandrescu, Dan (author)The Soft-Error (SE) reliability and the effects of Negative Bias Temperature Instability (NBTI) in deep submicron technologies are characterized as the major critical issues of high-performance integrated circuits. The previous scientific research studies provide a comprehensive description that the soft-error vulnerability becomes more severe...conference paper 2021
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Copetti, Thiago (author), Cardoso Medeiros, G. (author), Taouil, M. (author), Hamdioui, S. (author), Poehls, Leticia Bolzani (author), Balen, Tiago (author)Fin Field-Effect Transistor (FinFET) technology enables the continuous downscaling of Integrated Circuits (ICs), using the Complementary Metal-Oxide Semiconductor (CMOS) technology in accordance with the More Moore domain. Despite demonstrating improvements on short channel effect and overcoming the growing leakage problem of planar CMOS...conference paper 2020
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Cho, Yubin (author), Huang, Yilin (author), Verbraeck, A. (author)Dynamic data-driven simulation (DDDS) incorporates real-time measurement data to improve simulation models during model run-time. Data assimilation (DA) methods aim to best approximate model states with imperfect measurements, where particle Filters (PFs) are commonly used with discrete-event simulations. In this paper, we study three critical...conference paper 2020
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Shishkov, Boris (author), Hristozov, Stefan (author), Verbraeck, A. (author)We observe a world of increasing anxiety due to natural and man-made disasters, pandemics, andmilitary conflicts. Such disruptive events lead to decreased infrastructure and personnel availability; still, infrastructure and personnel are essential for keeping society running, and for addressing the effects of disruptions. We argue that drone...conference paper 2020
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Qiu, S. (author), Bozzon, A. (author), Houben, G.J.P.M. (author)This demo presents VirtualCrowd, a simulation platform for crowdsourcing campaigns. The platform allows the design, configuration, step-by-step execution, and analysis of customized tasks, worker profiles, and crowdsourcing strategies. The platform will be demonstrated through a crowd-mapping example in two cities, which will highlight the...conference paper 2020