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检索条件"机构=Software Engineering for Cognitive Robots and Cognitive Systems"
30 条 记 录,以下是1-10 订阅
The Bigger the Better? Towards EMG-Based Single-Trial Action Unit Recognition of Subtle Expressions
The Bigger the Better? Towards EMG-Based Single-Trial Action...
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18th International Joint Conference on Biomedical engineering systems and Technologies, BIOSTEC 2025
作者: Küster, Dennis Rammohan, Rathi Adarshi Liu, Hui Schultz, Tanja Koschke, Rainer Cognitive Systems Lab University of Bremen Bremen Germany AG Software Engineering University of Bremen Bremen Germany
Facial expressions are at the heart of everyday social interaction and communication. Their absence, such as in Virtual Reality settings, or due to conditions like Parkinson’s disease, can significantly impact commun... 详细信息
来源: 评论
SHEDDING LIGHT ON TASK DECOMPOSITION IN PROGRAM SYNTHESIS: THE DRIVING FORCE OF THE SYNTHESIZER MODEL
arXiv
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arXiv 2025年
作者: Zenkner, Janis Sesterhenn, Tobias Bartelt, Christian Machine Learning and Cognitive Software Institute for Software and Systems Engineering TU Clausthal Germany
Task decomposition is a fundamental mechanism in program synthesis, enabling complex problems to be broken down into manageable subtasks. ExeDec, a state-of-the-art program synthesis framework, employs this approach b...
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On the potentials of interaction breakdowns for HRI
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Behavioral and Brain Sciences 2023年 第1期46卷 e49-e49页
作者: Wrede, Britta Vollmer, Anna-Lisa Krach, Sören Software Engineering for Cognitive Robots and Cognitive Systems University of Bremen Bremen 28359 Germany Medical Assistive Systems Bielefeld University Bielefeld 33615 Germany Department of Psychiatry and Psychotherapy Social Neuroscience Lab (SNL) LÜbeck University Center of Brain Behavior and Metabolism (CBBM) Lübeck 23538 Germany
How do we switch between playing along and treating robots as technical agents? We propose interaction breakdowns to help solve this social artifact puzzle: Breaks cause changes from fluid interaction to explicit reas...
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Reliability Estimation of ML for Image Perception: A Lightweight Nonlinear Transformation Approach Based on Full Reference Image Quality Metrics
Reliability Estimation of ML for Image Perception: A Lightwe...
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IEEE International Symposium on Embedded Multicore Socs (MCSoC)
作者: João-Vitor Zacchi Francesco Carella Priyank Upadhya Shanza Ali Zafar John Molloy Lisa Jöckel Janek Groß Núria Mata Nguyen Anh Vu Doan Fraunhofer Institute for Cognitive Systems IKS Munich Germany University of York York United Kingdom Fraunhofer Institute for Experimental Software Engineering IESE Kaiserslautern Germany
As machine learning (ML) models for image perception continue to advance, ensuring their robustness and reliability under various real-world scenarios remains a significant challenge. Image quality factors, such as bl...
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Model Assisted Distributed Root Cause Analysis  26
Model Assisted Distributed Root Cause Analysis
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26th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2021
作者: Mayrhofer, Michael Mayr-Dorn, Christoph Guiza, Ouijdane Egyed, Alexander Cognitive Robotics And Shopfloors Pro2Future GmbH Linz Austria Institute Of Software Systems Engineering Johannes Kepler University Linz Austria
Cyber-physical production systems are composed of a multitude of subsystems from diverse vendors and integrators, connected in a distributed fashion. An undesirable phenomenon in one system might cause a misbehavior i... 详细信息
来源: 评论
Active Classification of Moving Targets with Learned Control Policies
arXiv
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arXiv 2022年
作者: Serra-Gómez, Álvaro Montijano, Eduardo Böhmer, Wendelin Alonso-Mora, Javier Department of Cognitive Robotics Delft University of Technology Netherlands Department of Informatics and Systems Engineering Universidad de Zaragoza Spain Department of Software Technology Delft University of Technology Netherlands
In this paper, we consider the problem where a drone has to collect semantic information to classify multiple moving targets. In particular, we address the challenge of computing control inputs that move the drone to ... 详细信息
来源: 评论
EEGNAS: Neural Architecture Search for Electroencephalography Data Analysis and Decoding  1st
EEGNAS: Neural Architecture Search for Electroencephalograph...
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1st International Workshop on Human Brain and Artificial Intelligence, HBAI 2019, held in conjunction with the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019
作者: Rapaport, Elad Shriki, Oren Puzis, Rami Software and Information Systems Engineering Ben-Gurion University of the Negev Beersheba Israel Cognitive and Brain Sciences Ben-Gurion University of the Negev Beersheba Israel
EEG, Electroencephalography, is the acquisition and decoding of electric brain signals. The data acquired from EEG scans can be put to use in many fields, including seizure prediction, treatment of mental illness, bra... 详细信息
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Capability-Based Process Modeling and Control
Capability-Based Process Modeling and Control
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International Conference on Emerging Technologies and Factory Automation (ETFA)
作者: Michael Mayrhofer Christoph Mayr-Dorn Ouijdane Guiza Georg Weichhart Alexander Egyed Cognitive Robotics and Shopfloors Pro2Future GmbH Linz Austria Institute of Software Systems Engineering Johannes Kepler University Linz Austria Flexible Production Systems ProFactor GmbH Steyr Austria
Cyber physical production systems (CPPS) focus on increasing the flexibility and adaptability of industrial production systems, systems that comprise hardware such as sensors and actuators in machines as well as softw...
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Awareness in robotics: An early perspective from the viewpoint of the EIC Pathfinder Challenge "Awareness Inside"
arXiv
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arXiv 2024年
作者: Santina, Cosimo Della Corbato, Carlos Hernandez Sisman, Burak Leiva, Luis A. Arapakis, Ioannis Vakalellis, Michalis Vanderdonckt, Jean D’Haro, LuisFernando Manzi, Guido Becchio, Cristina Elamrani, Aïda Alirezaei, Mohsen Castellano, Ginevra Dimarogonas, Dimos V. Ghosh, Arabinda Haesaert, Sofie Soudjani, Sadegh Stroeve, Sybert Verschure, Paul Bacciu, Davide Deroy, Ophelia Bahrami, Bahador Gallicchio, Claudio Hauert, Sabine Sanz, Ricardo Lanillos, Pablo Iacca, Giovanni Sigg, Stephan Gasulla, Manel Steels, Luc Sierra, Carles Department of Cognitive Robotics Delft University of Technology Delft Netherlands Oberpfaffenhofen Germany Department of Computer Science University of Luxembourg Luxembourg 4 Telefónica I+D Spain AEGIS IT Research GmbH Germany Université catholique de Louvain Belgium Speech Technology and Machine Learning Group ETSI de Telecomunicación Universidad Politécnica de Madrid Madrid Spain Alien Venture Studio Alien Technology Transfer Rome Italy Hamburg Germany Institut Jean Nicod École Normale Supérieure Paris France Research Technology and Development Department Digital Industry Software Helmond Netherlands Department of Information Technology Uppsala University Uppsala Sweden Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Max Planck Institute for Software Systems Kaiserslautern Germany Department of Electrical Engineering Control Systems Group Eindhoven University of Technology Eindhoven Netherlands Amsterdam Netherlands Donders Centre for Neuroscience Radboud University Nijmegen Netherlands Computer Science Department University of Pisa Pisa Italy Faculty of Philosophy Philosophy of Science The Study of Religion Ludwig Maximilian University of Munich Munich Germany School of Engineering Mathematics and Technology University of Bristol Bristol United Kingdom Autonomous Systems Laboratory Universidad Politécnica de Madrid Spain Madrid Spain Department of Information Engineering and Computer Science University of Trento Trento Italy Department of Information and Communications Engineering Aalto University Espoo Finland Department of Electronic Engineering Universitat Politècnica de Catalunya Barcelona Spain Studio Stelluti Brussels Belgium Barcelona Spain
Consciousness has been historically a heavily debated topic in engineering, science, and philosophy. On the contrary, awareness had less success in raising the interest of scholars in the past. However, things are cha... 详细信息
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StickyPillars: Robust and efficient feature matching on point clouds using graph neural networks
arXiv
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arXiv 2020年
作者: Fischer, Kai Simon, Martin Ölsner, Florian Milz, Stefan Groß, Horst-Michael Mäder, Patrick Valeo Schalter und Sensoren GmbH Kronach Germany Spleenlab GmbH Saalburg-Ebersdorf Germany Neuroinformatics and Cognitive Robotics Lab Ilmenau University of Technology Germany Software Engineering for Safety-Critical Systems Ilmenau University of Technology Germany
Robust point cloud registration in real-time is an important prerequisite for many mapping and localization algorithms. Traditional methods like ICP tend to fail without good initialization, insufficient overlap or in... 详细信息
来源: 评论