cram-system.org valuation and analysis

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Title home -
Description CRAM: Cognitive Robot Abstract About Blog Research Installation Doc Tutorials Support PyCRAM Table of Contents CRAM: Cognitive Robot Abstract Machine CRAM Applications Acknowledgements
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WebSite cram-system faviconcram-system.org
Host IP 134.102.200.13
Location Germany
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cram-system.org Valuation
US$2,304,858
Last updated: 2023-05-14 21:05:10

cram-system.org has Semrush global rank of 4,592,172. cram-system.org has an estimated worth of US$ 2,304,858, based on its estimated Ads revenue. cram-system.org receives approximately 265,946 unique visitors each day. Its web server is located in Germany, with IP address 134.102.200.13. According to SiteAdvisor, cram-system.org is safe to visit.

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Purchase/Sale Value US$2,304,858
Daily Ads Revenue US$2,128
Monthly Ads Revenue US$63,827
Yearly Ads Revenue US$765,922
Daily Unique Visitors 17,730
Note: All traffic and earnings values are estimates.
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Host Type TTL Data
cram-system.org. A 86400 IP: 134.102.200.13
cram-system.org. NS 86400 NS Record: ns4.linode.com.
cram-system.org. NS 86400 NS Record: ns1.linode.com.
cram-system.org. NS 86400 NS Record: ns5.linode.com.
cram-system.org. NS 86400 NS Record: ns3.linode.com.
cram-system.org. NS 86400 NS Record: ns2.linode.com.
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About Blog Research Installation Doc Tutorials Support PyCRAM Table of Contents CRAM: Cognitive Robot Abstract Machine CRAM Applications Acknowledgements Publications 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 Retail application Outdoor rescue application Acknowledgements This project received funding from several funding agencies in
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