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<!-- RCS: A lightweight layered architecture integrates core tools from robotics and exposes them through a Gymnasium-based API that enables seamless switching between simulation and real-world experiments.
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The individual layers can be easily customized in both Python and C++, making RCS equally suitable for end-to-end policy learning and low-level controller design. -->
Fig. 1: The applications on the left side interface with the environment on the right side, which can be a simulation or a real robot, through the Gymnasium interface. Sensors, actuators, and data observers wrap the environment by mutating the action, and/or the observation space.<br>
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