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Open Source from the Robotics Lab research group @ UC3M
Welcome to the open branch of the Robotics Lab research group @ Universidad Carlos III de Madrid (UC3M). We currently host 3 main projects here:
* ASIBOT open source software, which includes basic simulation, control and vision: http://roboticslab.sourceforge.net/asibot
* Datasets we use for machine learning: https://sourceforge.net/projects/roboticslab/files/Datasets
* Nicolas Burrus' RGBDemo stuff.
The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners.
Obtaining the teachingbox:
FOR USERS:
If you want to download the latest releases, please visit:
http://search.maven.org...
A C++ implementation of a nonlinear 3D IMU fusion algorithm.
Attitude Estimator is a generic platform-independent C++ library that implements an IMU sensor fusion algorithm. Up to 3-axis gyroscope, accelerometer and magnetometer data can be processed into a full 3D quaternion orientation estimate, with the use of a nonlinear Passive Complementary Filter. The library is targeted at robotic applications, but is by no means limited to this. Features of the estimator include gyro bias estimation, transient quick learning, multiple estimation algorithms...
This is the Sourceforge reposository of the EU project Xperience. We work on developing a Cognitive Architecture for humanoid robots using a combination of developmental approaches and structural bootstrapping - a concept from language learning.
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The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
pyPal is a jabber based chatterbot that can be used to launch commands remotely as well as to make some good conversation. It is expected to be capable of multi-language learning.
General purpose agents using reinforcement learning. Combines radial basis functions, temporal difference learning, planning, uncertainty estimations, and curiosity. Intended to be an out-of-the-box solution for roboticists and game developers.