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libmrpt-apps2.14
Mobile Robot Programming Toolkit - apps library
The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform,
and open source C++ library aimed to help robotics researchers to design and
implement algorithms in the fields of Simultaneous Localization and Mapping
(SLAM), computer vision, and motion planning (obstacle avoidance).
libmrpt-bayes2.14
Mobile Robot Programming Toolkit - bayes library
The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform,
and open source C++ library aimed to help robotics researchers to design and
implement algorithms in the fields of Simultaneous Localization and Mapping
(SLAM), computer vision, and motion planning (obstacle avoidance).
libmrpt-comms2.14
Mobile Robot Programming Toolkit - comms library
The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform,
and open source C++ library aimed to help robotics researchers to design and
implement algorithms in the fields of Simultaneous Localization and Mapping
(SLAM), computer vision, and motion planning (obstacle avoidance).
libmrpt-containers2.14
Mobile Robot Programming Toolkit - containers library
The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform,
and open source C++ library aimed to help robotics researchers to design and
implement algorithms in the fields of Simultaneous Localization and Mapping
(SLAM), computer vision, and motion planning (obstacle avoidance).
libmrpt-core2.14
Mobile Robot Programming Toolkit - core library
The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform,
and open source C++ library aimed to help robotics researchers to design and
implement algorithms in the fields of Simultaneous Localization and Mapping
(SLAM), computer vision, and motion planning (obstacle avoidance).
libmrpt-graphs2.14
Mobile Robot Programming Toolkit - graphs library
The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform,
and open source C++ library aimed to help robotics researchers to design and
implement algorithms in the fields of Simultaneous Localization and Mapping
(SLAM), computer vision, and motion planning (obstacle avoidance).