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| research [2023/08/14 13:44] – [Collaborative Projects] cstoess | research [2023/09/13 14:43] – [Collaborative Projects] cstoess |
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| ^ {{:logo-ease-2019.png?nolink&200|}} ^**[[http://www.ease-crc.org|EASE]]** (SFB 1320) is a collaborative research center. EASE will investigate the design, realization, and analysis of information processing models that enable robotic agents (and humans) to master complex human-scale manipulation tasks that are mundane and routine. EASE not only investigates action selection and control but also the methods needed to acquire the knowledge, skills, and competence required for flexible, reliable, and efficient mastery of these activities.^ | ^ {{:logo-ease-2019.png?nolink&200|}} ^**[[http://www.ease-crc.org|EASE]]** (SFB 1320) is a collaborative research center. EASE will investigate the design, realization, and analysis of information processing models that enable robotic agents (and humans) to master complex human-scale manipulation tasks that are mundane and routine. EASE not only investigates action selection and control but also the methods needed to acquire the knowledge, skills, and competence required for flexible, reliable, and efficient mastery of these activities.^ |
| ^ [[https://intel4coro.ai.uni-bremen.de|{{:kinect2_raw_nocalib.png?200|}}]] ^**[[https://intel4coro.ai.uni-bremen.de|IntEL4CoRo]]** designs and develops an immersive learning environment for Cognitive Robotics and AI. Based on the AVIVA model and a conceptual framework, coherent learning opportunities and materials will be developed.^ | ^ [[https://intel4coro.ai.uni-bremen.de|{{:kinect2_raw_nocalib.png?200|}}]] ^**[[https://intel4coro.ai.uni-bremen.de|IntEL4CoRo]]** designs and develops an immersive learning environment for Cognitive Robotics and AI. Based on the AVIVA model and a conceptual framework, coherent learning opportunities and materials will be developed.^ |
| ^ {{:projects:remaro.png?nolink&200|}} ^The REMARO project addresses the challenge of the development of a reliable AI system that can act on new underwater activities. The goal is to design brains for robots that enable robots to act safely while allowing them to improve by self-learning. Three project partners are from Bremen: DFKI, ROSEN Group, and the Institute of Artificial Intelligence at the University of Bremen.^ | ^ {{:projects:remaro.png?nolink&200|}} ^The **[[https://remaro.eu/|REMARO]]** project addresses the challenge of the development of a reliable AI system that can act on new underwater activities. The goal is to design brains for robots that enable robots to act safely while allowing them to improve by self-learning. Three project partners are from Bremen: DFKI, ROSEN Group, and the Institute of Artificial Intelligence at the University of Bremen.^ |
| ^ {{:projects:ki-campus_logo_mitimprover_blau.png?nolink&200|}} ^**[[http://improver.uni-bremen.de/|IMPROVER]]** develops a MOOC covering the most important aspects and techniques for designing and implementing cognition-enabled robot agents. ^ | ^ {{:projects:ki-campus_logo_mitimprover_blau.png?nolink&200|}} ^**[[http://improver.uni-bremen.de/|IMPROVER]]** develops a MOOC covering the most important aspects and techniques for designing and implementing cognition-enabled robot agents. ^ |
| ^ {{:research:logo_sfbfz.png?200|}} ^ The initiative **[[https://www.uni-bremen.de/farbige-zustaende.html|Farbige Zustände]]** aims at the development of a novel experimental method for developing metallic structural materials. The goal is the efficient and targeted identification of compositions and process chains that lead to a specific performance profile of the material. Conventional material developments are based on costly experimental investigations of chemical, mechanical, or technological material properties. The IAI uses AI and machine learning methods to predict material properties based on relationships extracted from experimental data and semantic knowledge. ^ | ^ {{:research:logo_sfbfz.png?200|}} ^ The initiative **[[https://www.uni-bremen.de/farbige-zustaende.html|Farbige Zustände]]** aims at the development of a novel experimental method for developing metallic structural materials. The goal is the efficient and targeted identification of compositions and process chains that lead to a specific performance profile of the material. Conventional material developments are based on costly experimental investigations of chemical, mechanical, or technological material properties. The IAI uses AI and machine learning methods to predict material properties based on relationships extracted from experimental data and semantic knowledge. ^ |
| ^ {{:projects:k4r_logo_rgb_rz.png?nolink&200}} ^ Der stationäre Einzelhandel befindet sich im Umbruch und sucht derzeit nach neuen Lösungen, um im Wettbewerb mit Onlinehändlern bestehen zu können. In **[[https://knowledge4retail.org/|Knowledge4Retail (K4R)]]** soll eine Plattform entstehen, die die Entwicklung und Nutzung von KI und den Einsatz von Servicerobotern im Einzelhandel voranbringt. Dabei sollen sogenannte „semantische digitale Zwillinge“ (semdZ) von Filialen als Grundlage für filial- und kundenindividuelle Lösungen in Einzelhandelsfilialen dienen. So kann mit semdZ die Logistik für jede Filiale individuell abgestimmt werden und vor Ort der Warenfluss nach exakter Platzierung der Produkte angepasst werden. Die Sortimentszusammenstellung kann sich filialindividuellen Besonderheiten dynamisch anpassen, und technische Hilfsmittel interagieren mit der K4R-Plattform, um die Mitarbeiter in der Filiale zu unterstützen.^ | ^ {{:projects:k4r_logo_rgb_rz.png?nolink&200}} ^ Stationary retail is undergoing major changes and is looking for new solutions to compete with online retailers. **[[https://knowledge4retail.org/|Knowledge4Retail (K4R)]]** aims to create a platform that supports the development and use of AI and service robots in retail. So-called “semantic digital twins” of retail branches are intended to serve as the foundation for industry- and customer-specific solutions. Semantic digital twins can help coordinate logistics for each store and the flow of goods on site can be adjusted according to the exact placement of the products. The placement of the products can dynamically adapt to store-specific features and technical aids interact with the K4R platform to support store employees.^ |
| ^ {{:projects:ilias.png?nolink&200|}} ^The ILIAS project develops methods to build robot systems, based on virtual reality (VR) and deep imitation learning, that can competently assist people with dementia on doing shopping and homework. ^ | ^ {{:projects:ilias.png?nolink&200|}} ^The ILIAS project develops methods to build robot systems, based on virtual reality (VR) and deep imitation learning, that can competently assist people with dementia on doing shopping and homework. ^ |
| ^ {{:projects:robohow.png?nolink&200}} ^**[[research:Robohow.Cog]]** enables robots to competently perform everyday human-scale manipulation activities - in both human working and living environments.^ | ^ {{:projects:robohow.png?nolink&200}} ^**[[research:Robohow.Cog]]** enables robots to competently perform everyday human-scale manipulation activities - in both human working and living environments.^ |
