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- | {{blog>home:blog}} | + | ====== CRAM: Cognitive Robot Abstract Machine ====== |
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+ | 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. | ||
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+ | <html><div style=" | ||
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+ | The core packages of CRAM are implemented in Common Lisp (with a little bit of C/C++) with support to the ROS middleware infrastructure. | ||
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+ | ===== Acknowledgements ===== | ||
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+ | This project received funding from several funding agencies in different research projects. We would like to acknowledge the support from | ||
+ | |||
+ | * BMWK project [[https:// | ||
+ | * EU H2020 project [[http:// | ||
+ | * DFG Project PIPE (project number 322037152) | ||
+ | * DFG Collaborative Research Centre [[http:// | ||
+ | * 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 | ||
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+ | ===== Publications ===== | ||
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+ | Please see the relevant publications [[publications|here]]. | ||