Search Results for "network development platforms"

The Behaviour Control Framework is a generic platform-independent C++ framework that implements a control architecture consisting of a hierarchical network of behaviour layers. These layers each contain behaviours that can inhibit one another and interact to achieve control. A full discussion of the structure and ideas behind this framework can be found in the Doxygen documentation that comes with the release. This documentation is well worth a read before you decide if the library is for...

The State Controller Library is a generic platform-independent C++ framework that allows finite state machines and multi-action planning generalisations thereof to be realised. The structure and implementation of this library focuses on the application of finite state machines to real-time control loops, but can be reasonably adapted for virtually any other application, even completely unrelated to control systems. An emphasis has been placed on having very low overhead so as not to hurt...

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,...

RoboCup GameController is an open source software used in the RoboCup Humanoid League and the Standard Platform League. Referee commands are sent to the robots on the playing field via wireless network to reach a higher autonomy of the players.

Moved to https://github.com/rdiankov/openrave An open-source, cross-platform, plugin-based robot planning environment for autonomous robotics. Includes services like collision detection, physics, (inverse) kinematics, sensors, robot controls, python bindings, and a network scripting environment.

It's an object-oriented library written in C++ for creating arbitrary kind of neural networks. The user can use the classes provided to create neural network with arbitrary topology and mixed type of neurons. It's very easy add custom neurons.

The ETHNOS environment is composed of: 1) ETHNOS-6, a dedicated distributed real-time operating system (developed as an extension to Linux), from which the overall environment takes its name, supporting different high level representation, communication, and execution requirements, 2) a dedicated network protocol designed for both the single robot and the multi-robot environment, specifically designed for noisy wireless communication, 3) an object oriented Application Programming Interface (API) based on the C++ language (and a subset based on Java), 4) a set of additional development tools (a robot simulator, a Java-applet template, etc.). ...

Library for handling XBee / XBee-PRO RF modules. The library is written in C and supports the following platforms: Linux (x86, MIPSel), Windows (x86), AT91 SAM7 microcontrollers.

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

‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.