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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 root, LU decomposition, Cholesky decomposition; piecewise linear approximation of functions; Sensor models, Markov action chains <X,U,X>.

Home Page: http://cognitoware.com/

License: BSD 3-Clause "New" or "Revised" License

Makefile 25.65% C++ 74.35%

robotics's Introduction

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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