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A comprehensive framework for reinforcement learning in robotics, which allows users to train their robots in both simulated and real-world environments.
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A comprehensive framework for reinforcement learning in robotics, which allows users to train their robots in both simulated and real-world environments.
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A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.
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A modular high-level library to train embodied AI agents across a variety of tasks and environments.
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Project AirSim is Microsoft's evolution of AirSim, an advanced simulation platform for building, training, and testing autonomous systems in high-fidelity virtual enviro…
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A ROS driver for Insta360 cameras, enabling real-time image capture, processing, and publishing in ROS environments.