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research [2012/08/20 21:14] – created pmaniaresearch [2018/01/31 11:57] pmania
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-Research+====== Research ====== 
 +~~NOTOC~~  
 + 
 +The Insitute 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. 
 + 
 +Robots performing complex tasks in open domains, such as assisting humans in 
 +a household or collaboratively assembling products in a factory, need to have 
 +cognitive capabilities for interpreting their sensor data, understanding 
 +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. 
 + 
 + 
 +====== Collaborative Projects====== 
 + 
 +|< 100% 33% 66%>| 
 +^  {{:projects:robohow.png?nolink&200}}  ^**[[research:Robohow.Cog]]** enables robots to competently perform everyday human-scale manipulation activities - both in 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 answering problem and uses the unstructured information management paradigm to create a framework for perceiving objects of daily use^ 
 +^  {{:projects:baycogrob.png?nolink&200}}  ^ **[[research:BayCogRob]]** - Autonomes Lernen für Bayes'sche kognitive Robotik (Schwerpunktprogramm Autonomes Lernen - DFG)^ 
 +^  {{:projects:memoman.png?nolink&200}}  ^ **[[research:MeMoMan2]]** investigates Methods for real-time accurate Model-based Measurement of HuMan Motion^ 
 + 
 + 
 +====== Internal Research Projects ====== 
 + 
 +|< 100% 33% 66%>| 
 +^  {{:projects:oe-logo.png?nolink&200}}  ^ **[[http://www.open-ease.org/|openEASE]]**: Web-based Knowledge Processing Service for Robots and Robotics/AI Researchers^ 
 +^  {{:projects:cram.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^ 




Prof. Dr. hc. Michael Beetz PhD
Head of Institute

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Andrea Cowley
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ai-office@cs.uni-bremen.de

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