We have used our BABEL Development System to design and implement all the software of our robotic applications. You can visit the BABEL site by clicking in the image below.
The Object Labeling Toolkit (OLT) consists of a number of software applications for performing an effortless labeling of datasets, concretely those containing sequences of RGB-D observations.
The Robot-at-Home dataset (Robot@Home, paper here) is a collection of raw and processed data from five domestic settings compiled by a mobile robot equipped with 4 RGB-D cameras and a 2D laser scanner. Its main purpose is to serve as a testbed for semantic mapping algorithms through the categorization of objects and/or rooms.
The Undirected Probabilistic Graphical Models in C++ (UPGMpp) is an open-source library for the building, training and managing of probabilistic graphical models.
We have developed a software library called MRPT (Mobile Robot Programming Toolkit) that provides a number of wrappers for the most common robotic needs in our projects: localization, mapping, perception, etc. You can visit the MRPT web site by clicking on the image below.
A dataset of simulated airflows and gas dispersion in detailed 3D models of real houses. Made with robotics in mind, fully integrated with ROS.