Search Results for "robot framework"

FARSA is a collection of integrated open-source object-oriented C++ libraries that allow to experiment with autonomous robots. It allow to simulate different robotic platforms (the iCub humanoid and the khepera, e-puck, and marxbot wheeled robots), design the sensory-motor system of the robot/s, design the environment in which the robot/s operate, design the robot neural controller, and adapt the free parameters of the robot.

RoboComp is a robotics framework providing a set of open-source, distributed, real-time robotic and artificial vision software components and the necessary tools to create and manage them.

OpenRDK (OPENsource Robot Development Kit) is a modular software framework that can be used by developers in their research in robotics and artificial intelligence. This project has been moved to https://github.com/madmage/openrdk

The Whole-Body Control framework jointly developed at Stanford University and The University of Texas at Austin provides advanced control for fixed base manipulators and is currently running on the the Meka A2 Arm and the Dreamer/Meka Humanoid robot. The code repository is hosted on Github, please go to https://github.com/poftwaresatent/stanford_wbc

sciSoccer is a framework to develop strategies for soccer playing robots like RobotCup. It is composed by libraries for robot communication, video capturing, image recognition, strategy implementation and a graphical user interface.

MIARN(Modules for Intelligent Autonomous Robot Navigation) is a project of robotics perception and interaction. We provide a gui for controlling and visualizing playerstage.sf.net sensors and opencv algorithms

A Computer Robot and Chatterbot building Framework, or "Bot Architecture", that utilizes Visual Basic, XML, MSAgent, SAPI, WSH, OpenCV and MSComm in a Bot building framework for building everything from chatterbots to robots.

CoPP is an object-oriented framework for developing algorithms for robot path planning. One of of the design goals is to make it easy to make comparisons between various path planning algorithms.