Search Results for "robot framework"
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Showing 18 open source projects for "robot framework"
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syncped
lightweight portable vi compatible editor
syncped is a SYNChronizing Portable EDitor supporting more than 100 programming languages, is available under Windows, Linux and OSX, has a vi compatibility mode, and can be configured to work with most version control systems. -
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LaMa
LaMa - A Localization and Mapping library
...We provide a fast scan-matching approach to mobile robot localization supported by a continuous likelihood field. It can be used to provide accurate localization for robots equipped with a laser and a not-so-good odometry. Nevertheless, good odometry is always recommended. -
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Robotics Library
C++ framework for robot kinematics, dynamics, motion planning, control
The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control. It covers spatial vector algebra, multibody systems, hardware abstraction, path planning, collision detection, and visualization. -
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FARSA
Framework for Autonomous Robotics Simulation and Analysis
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. -
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Behaviour Control Framework
A C++ framework that uses inhibition trees for behaviour control.
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... -
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State Controller Library
A C++ framework that implements generalised finite state machines.
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... -
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RESHL
ROS-Enhanced Scalable Haptic Library - discontinued
PROJECT DISCONTINUED ---------------------------------------- RESHL is a collection of Linux software used to interact with pen-master based haptic devices. Its name, ROS-Enhanced Scalable Haptic Library, describes all its main features: - ROS-Enhanced: the library can be used as a library in the ROS framework (Robot Operating System - http://www.ros.org/) and provides out-of-the-box support for master-slave solutions - Scalable: the library consists in different sub-libraries with different software dependencies. This way you don't have to install software for devices or functionality you're not going to use. Refer to Structure section for details on the single sub-libraries... -
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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.
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RESPOND-R
RESPOND-R Test Instrument
The RESPOND-R framework is a modular, distributed data logging framework built for the purpose of studying Emergency Informatics as it relates to human robot performance during disaster responses. Tutorials can be found on the wiki: https://sourceforge.net/p/respondr/wiki/ -
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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
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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
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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.
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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
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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.
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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.
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This is a networked multiplayer clone of the classic megaman game using a directx framework. There will be two modes, capture the flag and coopertive mode. In coopertive, players take control of megaman, in capture players control various robot masters.
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ROS in UTM ROBOCON
Development of ROS in UTM ROBOCON for robot programming
Using the Robot Operating System (ROS) framework, several functionality are built including computer to serial port data transmission, mobile robot navigation and arm manipulation. This project is under testing and development and will be used in the ABU ROBOCON in Malaysia and international level in the near future. -
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SLAMSim is intended to serve as an application framework for Simultaneous Localization and Mapping (SLAM) algorithms, which address the problem of simultaneously localizing a mobile robot and building a map of its operating environment.
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