AI RESEARCH
Domain-Adaptive Communication-Rate Optimization for Sim-to-Real Humanoid-Robot Wireless XR Teleoperation
arXiv CS.LG
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ArXi:2605.19293v1 Announce Type: cross Wireless extended reality (XR) teleoperation provides embodied interaction capability for collecting humanoid robot nstrations, but the large-scale adoption is restricted by the overhead of high-frequency motion transmission. This paper develops a system framework that integrates sampling, transmission, interpolation, and reconstruction and formulates a communication-rate optimization that aims to minimize the communication energy while maintaining the reconstruction accuracy of robot motion trajectories through dimension-wise sampling-rate control.