Showing 11 open source projects for "qt framework"

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    FARSA

    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.
    Downloads: 0 This Week
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  • 2
    Drone WayPointer

    Drone WayPointer

    A ROS package to remotely control the Parrot AR Drone 2.0

    "Drone WayPointer" is a ROS package that provides a UI to allow for remote control of the Parrot AR Drone 2.0. It is developed in C++ with qt-ros and the Qt4 Development FrameWork. It is designed to work with the ROS - Fuerte and it uses the the ardrone_autonomy driver (Fuerte-devel Branch). It has so far only been tested on the tum_simulator and not on the actual drone. The main functionalities it provides is camera streams of front or bottom cameras of the drone, button and slider control of the drone XYZ velocities, control using waypoints and waypoint commands, pose estimation using simple dead-reckoning and measurement and image recording functionalities.
    Downloads: 0 This Week
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  • 3
    RESHL

    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...
    Downloads: 0 This Week
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  • 4
    Aquila

    Aquila

    Software Architecture for Cognitive Robotics

    Aquila 2.0, an open-source cross-platform software architecture for cognitive robotics that makes use of independent heterogeneous CPU-GPU modules with loosely coupled dynamically generated graphical user interfaces.
    Downloads: 0 This Week
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  • 5
    RoboComp
    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.
    Downloads: 0 This Week
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  • 6

    IPSA - Inventor Physics Simulation API

    Easy to use physics simulation combining ODE with OpenInventor.

    Create phyiscal simulations easily through IPSA which combines the OpenInventor 3D API with the Open Dynamics Engine (ODE). Scenes are read from .iv files and simulated in the supplied viewer applications. Find it at: http://ipsa.sourceforge.net
    Downloads: 0 This Week
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  • 7
    VooDoo is a real-time, ICP-based tracking system, intended for the use on autonomous robotic systems. The ability to fuse different sensor inputs into one framework allows for a robust tracking of a simplified cylinder model of an observed human.
    Downloads: 0 This Week
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  • 8
    C++ framework designed to support iRobot Create developers with a comprehensive set of Controllers, Tasks, Schedulers, Movement Trackers, et cetera. Allows interfacing with hardware or in an emulated environment. Compiles on Linux, OS X, and Windows.
    Downloads: 0 This Week
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  • 9
    The Stanford Robotics Toolkit. An extensive, plugin-based architecture supporting the simulation and implementation of robotics algorithms. Designed for research purposes, the framework features a processing environment, a 3D GUI, and a CARMEN interface.
    Downloads: 0 This Week
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  • 10
    The goal of cvtk is to provide an easy to use computer vision framework that allows real-time tracking of color-marked objects in 2 dimensions.
    Downloads: 0 This Week
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  • 11
    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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