Showing 4 open source projects for "robust"

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    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
    Constrained rigid body dynamics simulator, a robust, technologically advanced, fast and maintainable physics engine.
    Downloads: 0 This Week
    Last Update:
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  • 4
    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
    Last Update:
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