GitHub - JasonAxm/robotics: Probabilistic state estimation for robotics applications. Bayes filters include Kalman, Markov chains; Gaussian, uniform and discrete mapping probability distributions representations; Distribution sampling, marginalization, multiplication; Distribution composition independent pairs and Bayes rule; Linear algebra, matrix, vector, inverse, square root, LU decomposition, Cholesky decomposition; piecewise linear approximation of functions; Sensor models, Markov action chains <X,U,X>.

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Name		Name	Last commit message	Last commit date
Latest commit History 40 Commits
.settings		.settings
Debug		Debug
Examples Debug		Examples Debug
Release		Release
Test Debug		Test Debug
cognitoware		cognitoware
examples		examples
.cproject		.cproject
.gitattributes		.gitattributes
.gitignore		.gitignore
.project		.project
LICENSE		LICENSE
README		README

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Cognitoware Robotics software library is licensed under BSD3.
Makefiles are automatically generated by Eclipse.
Requires C++11.

Directories:
- cognitoware: Source directory. Test files live next to implementation.
- examples: Example usage of cognitoware library. Implemented as unit tests.
- Debug: Eclipse Build Configuration for debug libraries.
- Release: Eclipse Build Configuration for release libraries.
- Test Debug: Eclipse Build Configuration for debug unit tests. Requires Gtest.

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Probabilistic state estimation for robotics applications. Bayes filters include Kalman, Markov chains; Gaussian, uniform and discrete mapping probability distributions representations; Distribution sampling, marginalization, multiplication; Distribution composition independent pairs and Bayes rule; Linear algebra, matrix, vector, inverse, square…

cognitoware.com/

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BSD-3-Clause license