====== Intelligent Autonomous Systems ======
~~NOTOC~~ 

The Intelligent Autonomous Systems group 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^