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home [2012/11/29 07:29] adminhome [2023/12/19 13:26] (current) arthur
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-{{blog>[namespace]?[number]&[flags]}}+====== CRAM: Cognitive Robot Abstract Machine ====== 
 + 
 +CRAM is a toolbox for designing, implementing and deploying 
 +software on autonomous robots. The framework provides various 
 +tools and libraries for aiding in robot software development as 
 +well as geometric reasoning and fast simulation mechanisms to 
 +develop cognition-enabled control programs that achieve high levels of robot autonomy. CRAM also provides tools 
 +for introspection that enable the robots to reason about their past 
 +executions and improve by autonomously optimizing their plans. 
 + 
 +The core packages of CRAM are implemented in Common Lisp (with a little bit of C/C++) with support to the ROS middleware infrastructure. 
 + 
 +===== CRAM Applications ===== 
 + 
 +=== Household application === 
 + 
 +<html><div style="text-align: center"><iframe width="560" height="315" src="https://www.youtube.com/embed/pv_n9FQRoZQ" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></div></html> 
 + 
 +<html><div align="center"> 
 +  <video width="560" height="315" controls> 
 +    <source src="http://cram-system.org/_media/blog/tiago.mp4" type="video/mp4"> 
 +  </video> 
 +</div></html> 
 + 
 +<html> 
 +  <p align="center"> 
 +    <iframe width="560" height="315" src="https://www.youtube.com/embed/HzFpO0VVJ1E" frameborder="0" allow="accelerometer; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen> 
 +    </iframe> 
 +  </p> 
 +</html> 
 + 
 +=== Retail application === 
 + 
 +<html><div align="center"> 
 +  <video width="560" height="315" controls> 
 +    <source src="http://cram-system.org/_media/d3.3.mp4" type="video/mp4"> 
 +  </video> 
 +</div></html> 
 + 
 +=== Outdoor rescue application === 
 + 
 +<html> 
 +  <p align="center"> 
 +    <iframe width="560" height="315" src="https://www.youtube.com/embed/ghBAEEbPiXs" frameborder="0" allow="accelerometer; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen> 
 +    </iframe> 
 +  </p> 
 +</html> 
 + 
 +===  === 
 + 
 +===== Acknowledgements ===== 
 + 
 +This project received funding from several funding agencies in different research projects. We would like to acknowledge the support from 
 + 
 +  * BMWK project [[https://knowledge4retail.org/|Knowledge4Retail]] (Innovation competition “Artificial Intelligence”) 
 +  * EU H2020 project [[http://www.refills-project.eu|REFILLS]] (grant agreement #731590). 
 +  * DFG Project PIPE (project number 322037152) 
 +  * DFG Collaborative Research Centre [[http://www.ease-crc.org|EASE -- Everyday Activity Science and Engineering]] (CRC #1320) 
 +  * EU FP7 project SHERPA (grant agreement #600958) 
 +  * EU FP7 project RoboHow (grant agreement #288533) 
 +  * EU FP7 project Saphari (grant agreement #287513) 
 +  * EU FP7 project RoboEarth (grant agreement #248942) 
 +  * DFG Excellence Initiative research cluster CoTeSys -- Cognition for Technical Systems 
 +  * Willow Garage as part of the PR2 Beta Program 
 + 
 + 
 +===== Publications ===== 
 + 
 +Please see the relevant publications [[publications|here]].