Open Source Robotics Software

Calculation of camshafts - allows to define a camshaft profile on the set trajectory which should provide the given mechanism. The trajectory can be set graphically, co-ordinates or function.

Automatic and Intelligent Object Finder

Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/

The project is investigating the use of sensor information to be used in context aware applications.

GMM-GMR is a light package of functions in C/C++ to compute Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR). It allows to encode any dataset in a GMM, and GMR can then be used to retrieve partial data by specifying the desired inputs.

Geeks Artificial Neural Network (G.A.N.N) is an open source project that started with the philosophy of being a new more advanced A.N.N that works as a platform for other applications. In other words, G.A.N.N should be considered as a "Black Box".

Platform supporting machine learning on different objects by different modification of the JSM method (for now). Predicates for the JSM method are written in CLIPS.Objects and modification of the JSM method have to written on one of .NET languages.

Concurrent vision processing system; Toolkit for easy implementation of software concurrent vision processing sub-system. Aimed at robotic applications w/best effort realtime. System includes: capture,processing and displaying.

A collection of Matlab functions and scripts for computing the saliency map for an image, for determining the extent of a proto-object, and for serially scanning the image with the focus of attention.

File Host and Sample Code for Shervin Emami's website at http://www.shervinemami.co.cc/

This project consists in a simulation software of robot A.I. It is aimed at comparing the efficiency of robot intelligence against movement tasks between fixed checkpoints in a logical world.

UGLi ML: The Undirected Graphical Library for Machine Learning. Easy, agile learning and inference from structured/relational data using Markov Networks and Conditional Random Fields.

To diagnose a problem or simply to study the internal flow of information in an ethercat fieldbus, one of the common practices is to capture the flow of ethercat datagrams with an ethernet sniffer such as Wireshark (www.wireshark.org). Wireshark provides some filters to facilitate data analysis but the high amount of recorded information still makes an analysis complicated for many people who do not have a very deep knowledge of the ethercat protocol and Wireshark tools. Ecang can help these people! Ecang extracts the list of the slaves managed and the PDOs exchanged in an ethercat network directly from the network configuration file (ENI file) .xml, thanks to this data it can read numerous information from the file generated by the sniffer (.pcapng) and transfers them to a comma-separated values ​​file (.csv) already applying a first level of validation.

distributed simulation agent system developed for prove and populate agent theory in resource planing branch

Qspline does quaternion interpolation such that the quaternion and angular rate and acceleration vectors are continuous functions of time, while maintaining quaternion normalization.

Quaternion Cubic Spline by James McEnnan Qspline does quaternion interpolation such that the quaternion and angular rate and acceleration vectors are continuous functions of time, while maintaining quaternion normalization. This project releases the core functions (in qspline.c) under the CC0 license (Public Domain). The original project can be found here: http://sourceforge.net/projects/qspline/ The documentation can be found in the original project here: http://qspline.sourceforge.net/qspline.pdf