libmrpt-config2.14
Mobile Robot Programming Toolkit - config 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-expr2.14
Mobile Robot Programming Toolkit - expr 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).
mcstas-mcrun
Neutron ray-trace simulation - runner
McStas is a tool for carrying out Monte Carlo ray-tracing simulations
of neutron scattering instruments with high complexity and
precision. The simulations can compute all aspects of the performance
of instruments and can thus be used to optimize the use of existing
equipment, design new instrumentation, and carry out virtual
experiments for e.g. training, experimental planning or data
analysis.
mcxtrace
X-ray ray-trace simulation
McXtrace is a tool for carrying out highly complex Monte Carlo
ray-tracing simulations of X-ray beamlines to high precision. The
simulations can compute all aspects of the performance of beamlines
and can thus be used to optimize the use of existing equipment,
design new instrumentation, and carry out virtual experiments for
e.g. training, experimental planning or data analysis.
libmrpt-nanogui2.14
Mobile Robot Programming Toolkit - nanogui 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).
mcxtrace-comps
X-ray ray-trace simulation - components
McXtrace is a tool for carrying out highly complex Monte Carlo
ray-tracing simulations of X-ray beamlines to high precision. The
simulations can compute all aspects of the performance of beamlines
and can thus be used to optimize the use of existing equipment,
design new instrumentation, and carry out virtual experiments for
e.g. training, experimental planning or data analysis.