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Only released in EOL distros:  

cram_core: alexandria | babel | cffi | cl_store | cl_utilities | cram_designators | cram_execution_trace | cram_language | cram_math | cram_process_modules | cram_projection | cram_reasoning | cram_test_utilities | cram_utilities | gsd | gsll | lisp_unit | split_sequence | synchronization_tools | trivial_features | trivial_garbage

Package Summary

A set of libraries for implementing AI enabled robot control programs.

cram_core: cram_designators | cram_execution_trace | cram_language | cram_math | cram_process_modules | cram_projection | cram_reasoning | cram_test_utilities | cram_utilities

Package Summary

A set of libraries for implementing AI enabled robot control programs.

cram_core: cram_designators | cram_execution_trace | cram_language | cram_math | cram_process_modules | cram_projection | cram_reasoning | cram_test_utilities | cram_utilities

Package Summary

A set of libraries for implementing AI enabled robot control programs.

This stack contains the core components of the CRAM (Cognitive Robotic Abstract Machine) framework, developed at the Technische Universität München (http://ias.in.tum.de/research/cram). The common sense reasoning part can be found in the knowrob stack. It contains libraries for reasoning and high level robot control for Steel Bank Common Lisp (http://www.sbcl.org).

Overview

For documentation please consult the documentation section of the official CRAM webpage.

Installation

You can check out the current version of the cram_core stack with

git clone https://github.com/cram-code/cram_core.git

or add the following line to your rosinstall file:

- git: {local-name: stacks/cram_core, uri: 'https://github.com/cram-code/cram_core.git', version: master}


2024-02-24 12:31