libmrpt-bayes2.13

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-comms2.13

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-config2.13

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).

mcstas-mcdisplay-matplotlib

Neutron ray-trace simulation - Matplotlib instrument display

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.

libmrss0t64

C library for parsing, writing and creating RSS files or streams

libmrss is a C library for parsing, writing and creating RSS (0.91, 0.92, 1.0, 2.0) files or streams.

mcstas-comps

Neutron ray-trace simulation - components

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.