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Auflistung nach Schlagwort "Robotics"

1 - 10 von 17
  • Zeitschriftenartikel
    Affective Computing Combined with Android Science
    (KI - Künstliche Intelligenz: Vol. 25, No. 3, 2011) Becker-Asano, Christian
    In this report a number of research projects are summarized that aimed at investigating the emotional effects of android robots. In particular, those robots are focused on that have been developed and are incessantly being improved by Hiroshi Ishiguro at both the Advanced Telecommunications Research Institute International (ATR) in Kyoto and Osaka University in Osaka, Japan. Parts of the reported empirical research have been conducted by the author himself during a two-year research stay at ATR as post-doctoral fellow of the Japan Society for the Promotion of Science.In conclusion, Affective Computing research is taken to the next level by employing physical androids rather than purely virtual humans, and Android Science benefits from the experience of the Affective Computing community in devising means to assess and evaluate a human observer’s subjective impressions that android robots give rise to.
  • Zeitschriftenartikel
    An Introduction to Hyperdimensional Computing for Robotics
    (KI - Künstliche Intelligenz: Vol. 33, No. 4, 2019) Neubert, Peer; Schubert, Stefan; Protzel, Peter
    Hyperdimensional computing combines very high-dimensional vector spaces (e.g. 10,000 dimensional) with a set of carefully designed operators to perform symbolic computations with large numerical vectors. The goal is to exploit their representational power and noise robustness for a broad range of computational tasks. Although there are surprising and impressive results in the literature, the application to practical problems in the area of robotics is so far very limited. In this work, we aim at providing an easy to access introduction to the underlying mathematical concepts and describe the existing computational implementations in form of vector symbolic architectures (VSAs). This is accompanied by references to existing applications of VSAs in the literature. To bridge the gap to practical applications, we describe and experimentally demonstrate the application of VSAs to three different robotic tasks: viewpoint invariant object recognition, place recognition and learning of simple reactive behaviors. The paper closes with a discussion of current limitations and open questions.
  • Konferenzbeitrag
    Behavior Trees and State Machines in Robotics Applications
    (Software Engineering 2024 (SE 2024), 2024) Ghzouli, Razan; Berger, Thorsten; Broch Johnsen, Einar; Wasowski, Andrzej; Dragule, Swaib
  • Zeitschriftenartikel
    Bewertung der Einsatzpotenziale und Risiken von Robotic Process Automation
    (HMD Praxis der Wirtschaftsinformatik: Vol. 57, No. 6, 2020) Brettschneider, Jennifer
    In der heutigen Zeit nimmt die Bedeutung schlanker und effektiver Prozesse in Unternehmen vor dem Hintergrund des Wettbewerbs sowie Kostendrucks stetig zu. Um dieser Herausforderung entgegenzuwirken, fokussieren sich Unternehmen auf die Identifikation neuer innovativer Potenziale. Aufgrund der Tatsache, dass monotone und regelbasierte Prozesse durch Softwareroboter automatisiert werden können, ist das Interesse an Robotic Process Automation (RPA) in den letzten Jahren stetig gestiegen. Bevor sich Unternehmen allerdings für oder gegen den Einsatz von RPA entscheiden, ist es zunächst notwendig, dass die Entscheidungsträger ein Verständnis von RPA erlangen sowie die entsprechenden Einsatzpotenziale und Risiken einschätzen können. Dieser Artikel trägt diesem Bedürfnis Rechnung, indem es diese auf Basis einer Literaturrecherche ermittelt und bewertet. Im Ausblick wird das zukünftige Potenzial von RPA eingeschätzt. Nowadays, the importance of lean and effective processes in companies is increasing considering the background of business rivalry and cost pressure. To counteract this challenge, companies focus on identifying new innovative potentials. Due to the fact that monotonous and rule-based processes can be automated through software robots, the interest in robotic process automation (RPA) has been growing steadily over the last few years. But before a company decides whether or not to use RPA, it is firstly necessary for decision-makers to get an understanding of RPA and to be able to assess the potential uses and risks. This paper takes this need into account by determining and evaluating them on the basis of a literature review. The outlook evaluates future significance of RPA.
  • Zeitschriftenartikel
    Catering to Real-Time Requirements of Cloud-Connected Mobile Manipulators
    (KI - Künstliche Intelligenz: Vol. 33, No. 2, 2019) Walter, Christoph; Scholle, Julian-Benedikt; Elkmann, Norbert
    In this contribution, we explore real-time requirements of mobile manipulators, a class of intelligent robots, in the context of the ongoing fast-robotics ( https://de.fast-zwanzig20.de/industrie/fast-robotics/ ) project. The project aims at implementing such robots based on (edge-) cloud-services using wireless communication in order to make them more capable and efficient. Instead of trying to universally achieve hard real-time in such a system, we present a mixed real-time approach with an application centered fault tolerance scheme based on transition points and pre-computed alternate plans. We argue that deliberatively addressing uncertainties in timing is similarly important than handling uncertainties e.g. in perception for future intelligent robots.
  • Zeitschriftenartikel
    Constraint Based World Modeling for Multi Agent Systems in Dynamic Environments
    (KI - Künstliche Intelligenz: Vol. 24, No. 4, 2010) Göhring, Daniel
    Mobile autonomous robotics is a young and complex field of research. Since the world is uncertain and since robots can only gain partial information about it, probabilistic navigation algorithms became popular whenever a robot has to localize itself or surrounding objects. Furthermore, cooperative exploration and localization approaches have become very relevant lately, as robots begin to act not just alone but in groups. Within my thesis I analyze, how information can be exchanged between robots in order to improve their world model. Therefore I examine how communication of spatial percept-relations can help to improve the accuracy of the world model, in particular when the robots are poorly self-localized. First, percept-relations are being used to increase the modeling accuracy in static situations, later the approach is extended to moving objects. After focussing on suitable sensory data for communication, in the second part I present a Bayesian modeling approach, using constraint satisfaction techniques for complex belief functions. Constraint based localization methods will be analyzed in order to have a group of robots efficiently localized and to model their environment. The presented algorithms were implemented and tested within the RoboCup Standard Platform League (SPL).
  • Zeitschriftenartikel
    EDLRIS: A European Driving License for Robots and Intelligent Systems
    (KI - Künstliche Intelligenz: Vol. 35, No. 2, 2021) Kandlhofer, Martin; Steinbauer, Gerald; Lassnig, Julia; Menzinger, Manuel; Baumann, Wilfried; Ehardt-Schmiederer, Margit; Bieber, Ronald; Winkler, Thomas; Plomer, Sandra; Strobl-Zuchtriegl, Inge; Miglbauer, Marlene; Ballagi, Aron; Pozna, Claudiu; Miltenyi, Gabor; Alfoldi, Istvan; Szalay, Imre
    This article presents a novel educational project aiming at the development and implementation of a professional, standardized, internationally accepted system for training and certifying teachers, school students and young people in Artificial Intelligence (AI) and Robotics. In recent years, AI and Robotics have become major topics with a huge impact not only on our everyday life but also on the working environment. Hence, sound knowledge about principles and concepts of AI and Robotics are key skills for this century. Nonetheless, hardly any systematic approaches exist that focus on teaching principles of intelligent systems at K-12 level, addressing students as well as teachers who act as multipliers. In order to meet this challenge, the European Driving License for Robots and Intelligent Systems—EDLRIS was developed. It is based on a number of previously implemented and evaluated projects and comprises teaching curricula and training modules for AI and Robotics, following a competency-based, blended learning approach. Additionally, a certification system proves peoples’ acquired competencies. After developing the training and certification system, the first 32 trainer and trainee courses with a total of 445 participants have been implemented and evaluated. By applying this innovative approach—a standardized and widely recognized training and certification system for AI and Robotics at K-12 level for both high school teachers and students—we envision to foster AI/Robotics literacy on a broad basis.
  • Zeitschriftenartikel
    Der Einsatz von Servicerobotern bei Epidemien und Pandemien
    (HMD Praxis der Wirtschaftsinformatik: Vol. 57, No. 6, 2020) Bendel, Oliver
    Seit jeher werden Roboter eingesetzt, um gefährliche oder für uns nicht bewältigbare Aufgaben zu erledigen. Sie entschärfen Bomben, transportieren Gefahrenstoffe und arbeiten sich in für uns nicht erreichbare Gebiete vor. Die COVID-19-Pandemie hat gezeigt, dass auch Serviceroboter, die eigentlich nicht für Sonderfälle vorgesehen sind, hilfreiche Dienste bei der Versorgung von Isolierten und bei der Eindämmung von Krankheiten leisten können. Der vorliegende Beitrag stellt vier Typen von Servicerobotern vor. Dann gibt er Beispiele für die Roboternutzung während der Coronakrise im Jahre 2020. Schließlich wird der Frage nachgegangen, in welchem Umfang und in welcher Weise die Robotertypen zusammenarbeiten können und ob man manche von ihnen zu Generalisten weiterentwickeln kann. Zudem werden Geschäftsmodelle und Betriebsmöglichkeiten thematisiert. Der Beitrag zeigt, dass Kohorten von Robotern in Zukunft lebenswichtig sein könnten. Robots have always been used to carry out dangerous tasks or tasks that are not manageable for us. They defuse bombs, transport hazardous materials and work their way into areas inaccessible to humans. The COVID-19 pandemic has shown that even service robots, which are not actually intended for special cases, can provide helpful services in the care of isolated persons and in the containment of diseases. This paper presents four types of service robots. Then it gives examples of robot use during the coronavirus crisis in 2020. Finally, the question in which extent and in what way the robot types can cooperate and whether some of them can be developed into generalists is examined. Business models and operating opportunities are also discussed. The paper shows that cohorts of robots could be vital in the future.
  • Zeitschriftenartikel
    How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project
    (KI - Künstliche Intelligenz: Vol. 26, No. 4, 2012) Soltoggio, Andrea; Steil, Jochen J.
    Flexible, robust, precise, adaptive, compliant and safe: these are some of the qualities robots must have to interact safely and productively with humans. Yet robots are still nowadays perceived as too rigid, clumsy and not sufficiently adaptive to work efficiently in interaction with people. The AMARSi Project endeavors to design and implement rich motor skills, unique flexibility, compliance and state-of-the-art learning in robots. Inspired by human-recorded motion and learning behavior, similarly versatile and constantly adaptive movements and skills endow robots with singularly human-like motor dynamics and learning. The AMARSi challenge is to integrate novel biological notions, advanced learning algorithms and cutting-edge compliant mechanics in the design of fully-fledged humanoid and quadruped robots with an unprecedented aptitude for integrating in our environments.
  • Konferenzbeitrag
    Integrating Artificial Intelligence and Robotics into Art Curriculum
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Iovine, Ivan
    Artificial intelligence (AI) and robotics are taking an increasingly central role in the creative industries. In recent years a growing number of artistic works have been produced and embedded with AI or robotic driven technologies. While these technologies are introduced and taught at the university level in creative domains such as architecture and design, their integration into multimedia and electronic arts is often limited or partially addressed. This study presents a practical experience of integrating machine learning and robotics into an art curriculum, specifically targeting students with little programming experience. To teach these disciplines, a constructivism approach is explored, allowing students to learn AI and robotics pipelines through the familiar subject of physical computing. From this starting point, through code samples and experimentations students were able to explore increasingly technical realms such as computer vision and human-robot-interaction.