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| research [2023/09/13 14:41] – [Collaborative Projects] cstoess | research [2023/09/18 13:24] – [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}} ^ Stationary retail is undergoing huge 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 the use of 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: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 **[[https://innolab.artiminds.com/ilias/|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.^ |
| ^ {{:projects:saphari.png?nolink&200}} ^**[[research:saphari]]** investigates Safe and Autonomous Physical Human-Aware Robot Interaction| | ^ {{:projects:saphari.png?nolink&200}} ^**[[research:saphari]]** investigates Safe and Autonomous Physical Human-Aware Robot Interaction| |
| ^ {{:projects:acat.png?nolink&200}} ^ **[[research:acat]]** enables robots to use information sources made for humans by learning and executing Action Categories^ | ^ {{:projects:acat.png?nolink&200}} ^ **[[research:acat]]** enables robots to use information sources made for humans by learning and executing Action Categories^ |
| ^ {{:rs_logo_text.png?nolink&200}} ^ **[[http://www.robosherlock.org|RoboSherlock]]** poses perception as a question-and-answer problem and uses the unstructured information management paradigm to create a framework for the perception of everyday objects^ | ^ {{:rs_logo_text.png?nolink&200}} ^ **[[http://www.robosherlock.org|RoboSherlock]]** poses perception as a question-and-answer problem and uses the unstructured information management paradigm to create a framework for the perception of everyday objects^ |
| ^ {{:projects:baycogrob.png?nolink&200}} ^ **[[research:BayCogRob]]** - Autonomous learning for Bayesian cognitive robotics (DFG Priority Program - Autonomous Learning)^ | ^ {{:projects:baycogrob.png?nolink&200}} ^ **[[research:BayCogRob]]** - Autonomous learning for Bayesian cognitive robotics (DFG Priority Program on Autonomous Learning)^ |
| ^ {{:projects:memoman.png?nolink&200}} ^ **[[research:MeMoMan2]]** investigates Methods for real-time accurate Model-based Measurement of HuMan Motion^ | ^ {{:projects:memoman.png?nolink&200}} ^ **[[research:MeMoMan2]]** investigates methods for real-time accurate model-based measurement of human motion^ |
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| ^ {{:projects:cram2.png?nolink&200}} ^ **[[:research:cram]]**: Cognitive Robot Abstract Machine^ | ^ {{:projects:cram2.png?nolink&200}} ^ **[[:research:cram]]**: Cognitive Robot Abstract Machine^ |
| ^ {{:projects:knowrob.png?nolink&200}} ^ **[[:research:knowrob]]**: Knowledge processing for autonomous robots^ | ^ {{:projects:knowrob.png?nolink&200}} ^ **[[:research:knowrob]]**: Knowledge processing for autonomous robots^ |
| ^ {{:research:software:pracmln-darkonbright-transp.png?nolink&200}} ^ **[[http://www.pracmln.org/|pracmln]]**: Markov logic networks in Python^ | ^ {{:research:software:pracmln-darkonbright-transp.png?nolink&200}} ^ **[[https://www.pracmln.org/|pracmln]]**: Markov logic networks in Python^ |
| ^ {{:research:software:prac-darkonbright-transp.png?nolink&200}} ^ **[[http://www.actioncores.org/|PRAC]]**: Probabilistic Action Cores -- Natural-language understanding for intelligent robots^ | ^ {{:research:software:prac-darkonbright-transp.png?nolink&200}} ^ **[[http://www.actioncores.org/|PRAC]]**: Probabilistic Action Cores -- Natural-language understanding for intelligent robots^ |
| ^ {{:projects:physics.png?nolink&200}} ^ **[[:research:naive-physics]]**: Simulation-based reasoning about physical effects^ | ^ {{:projects:physics.png?nolink&200}} ^ **[[:research:naive-physics]]**: Simulation-based reasoning about physical effects^ |
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