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simmediumsim-to-realmetric · varies

Vid2Sid: Videos Can Help Close the Sim2Real Gap

Description

Calibrating a robot simulator's physics parameters (friction, damping, material stiffness) to match real hardware is often done by hand or with black-box optimizers that reduce error but cannot explain which physical discrepancies drive the error. When sensing is limited to external cameras, the problem is further compounded by perception noise and the absence of direct force or state measurements. We present Vid2Sid, a video-driven system identification pipeline that couples foundation-model pe

Source

http://arxiv.org/abs/2602.19359v1