Showing 6 open source projects for "robust"

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  • 1
    NVIDIA Isaac Lab

    NVIDIA Isaac Lab

    Unified framework for robot learning built on NVIDIA Isaac Sim

    Isaac Lab is an open-source modular robotics learning framework built atop Isaac Sim. It simplifies research workflows across reinforcement learning, imitation learning, and motion planning by offering robust, GPU-accelerated simulation with realistic sensor and physics fidelity—ideal for sim-to-real robot training. Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5). GPU-accelerated, high-fidelity physics and sensor simulation suitable for complex learning tasks. Offers a variety of robotic environment simulations on both Linux and Windows.
    Downloads: 6 This Week
    Last Update:
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  • 2
    Attitude Estimator

    Attitude Estimator

    A C++ implementation of a nonlinear 3D IMU fusion algorithm.

    ...Features of the estimator include gyro bias estimation, transient quick learning, multiple estimation algorithms, tuneable estimator parameters, and near-global stability backed by theoretical analysis. Great emphasis has been placed on having a very efficient, yet totally numerically and algorithmically robust implementation of the filter. The code size has also been kept to a minimum, and has been extremely well-commented. The programmatic interface has also been made as easy as possible. Please refer to the extensive documentation of the library for more information on its capabilities and usage caveats.
    Downloads: 0 This Week
    Last Update:
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  • 3
    USARSimRos

    USARSimRos

    Interface between USARSim and ROS

    ...Through the use of auto-discovery, robotic platforms and sensors may be easily changed and connect to the ROS control stack. Repeatable experiments are possible in a variety of environments and will hopefully lead to more robust and capable algorithms.
    Downloads: 0 This Week
    Last Update:
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  • 4
    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: 1 This Week
    Last Update:
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  • 5
    MicroGear is an aerial robotics application that is robust, highly capable, highly configurable, open, and interfaceable. Along with high levels of capability, MicroGear focuses on robustness, high performance, and minimal memory and disk footprints.
    Downloads: 0 This Week
    Last Update:
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  • 6
    Welcome to Molecubes! This project aims to develop open modular robotic framework envisioned as a universal, robust, and low cost alternative to a variety of specialized robots with fixed body structure and functions.
    Downloads: 0 This Week
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