Calibrate the Robot, Randomize the World: PACE for Legged Sim-to-Real
Legged robots must achieve both robust locomotion and energy efficiency to be practical in real-world environments. Yet controllers trained in simulation often fail to transfer reliably, and most existing approaches are limited to specific robot morphologies. This paper presents a systematic framework for sim-to-real transfer across diverse legged robot platforms.
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