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| research [2023/08/14 14:22] – [Collaborative Projects] cstoess | research [2023/09/13 14:56] – [Collaborative Projects] cstoess |
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| ^ {{: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}} ^ Brick-and-mortar 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 stores 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.^ |
Prof. Dr. hc. Michael Beetz PhD
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