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| research [2014/02/18 17:35] – [Research] tenorth | research [2023/08/14 13:44] – [Collaborative Projects] cstoess |
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| ~~NOTOC~~ | |
| ====== Research ====== | ====== Research ====== |
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| <html> | The Institute for Artificial Intelligence investigates methods for cognition-enabled robot control. The research is at the intersection of robotics and Artificial Intelligence and includes methods for intelligent perception, dexterous object manipulation, plan-based robot control, and knowledge representation for robots. |
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| <td class="col0" style="vertical-align: top;"> <div class="img2 alirien" style="width:180px"><div class="imginner"><a href="/research/ias" class="wikilink2" title="ias" rel="nofollow"><img src="/_media/research/ias-teaser.jpg" class="mediabox2" alt=""></a><div class="imgcaption" style="padding:7px;"><strong>Intelligent Autonomous Systems</strong><br><span style="color:#424242;">The group investigates AI-based control methods for robotic agents, performing human-scale everyday manipulation-tasks.</span></div></div></div></td><td class="col1" style="vertical-align: top;"> <div class="img2 alirien" style="width:180px"><div class="imginner"><a href="/research/ispl" class="wikilink2" title="ispl" rel="nofollow"><img src="/_media/research/logistics-teaser.png" class="mediabox2" alt=""></a><div class="imgcaption" style="padding:7px;"><strong>Intelligent Systems in Production & Logistics</strong><br><span style="color:#424242;">This group is involved with large-scale distributed autonomous logistics and production networks.</span><br/> <br/><br/></div></div></div></td><td class="col2" style="vertical-align: top;"> <div class="img2 alirien" style="width:180px"><div class="imginner"><a href="/research/wi" class="wikilink2" title="wi" rel="nofollow"><img src="/_media/research/wearable-teaser.jpg" class="mediabox2" alt=""></a><div class="imgcaption" style="padding:7px;"><strong>Wearable Intelligence</strong><br><span style="color:#424242;">Developing ambient and pervasive computing systems that assist humans at home, at work and during leisure activities.</span> <br/> <br/><br/></div></div></div></td> | |
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| The Institute for Artificial Intelligence investigates leading-edge Artificial Intelligence methods for integrated computer systems including: | Robots performing complex tasks in open domains, such as assisting humans in |
| * Robotic agents that perform human-scale everyday manipulation activities (group: [[:research:ias|Intelligent Autonomous Systems]]) | a household or collaboratively assembling products in a factory, need to have |
| * Ambient and pervasive computing systems that assist humans at home, at work and during leisure activities (group: [[:research:wi|Wearable Intelligence]]) | cognitive capabilities for interpreting their sensor data, understanding |
| * Large-scale distributed autonomous logistics and production networks (group: [[:research:ispl|Intelligent Systems in Production & Logistics]]). | scenes, selecting and parametrizing their actions, recognizing and handling |
| | failures and interacting with humans. In our research, we are developing |
| | solutions for these kinds of issues and implement and test them on the robots |
| | in our laboratory. A particular focus of the group is on the integration of |
| | individual methods into complete cognition-enabled robot control systems and |
| | the release of the developed software as open-source libraries. |
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| | ====== Collaborative Projects====== |
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| | |< 100% 33% 66%>| |
| | ^ {{: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.^ |
| | ^ {{: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: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. ^ |
| | ^ {{: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: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:saphari.png?nolink&200}} ^**[[research:saphari]]** investigates Safe and Autonomous Physical Human-Aware Robot Interaction| |
| | ^ {{:research:sherpa.png?nolink&200}} ^**[[research:sherpa]]** develops a mixed autonomous ground and aerial robotic platform for support in search and rescue^ |
| | ^ {{: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^ |
| | ^ {{:projects:baycogrob.png?nolink&200}} ^ **[[research:BayCogRob]]** - Autonomous learning for Bayesian cognitive robotics (DFG Priority Program - Autonomous Learning)^ |
| | ^ {{:projects:memoman.png?nolink&200}} ^ **[[research:MeMoMan2]]** investigates Methods for real-time accurate Model-based Measurement of HuMan Motion^ |
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| | ====== Internal Research Projects ====== |
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| | |< 100% 33% 66%>| |
| | ^ {{:logo_openease_2019.png?nolink&200|}} ^ **[[http://www.open-ease.org/|openEASE]]**: Web-based Knowledge Processing Service for Robots and Robotics/AI Researchers^ |
| | ^ {{:projects:cram2.png?nolink&200}} ^ **[[:research:cram]]**: Cognitive Robot Abstract Machine^ |
| | ^ {{: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: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^ |
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