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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…
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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…
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