Maks Sorokin

Learning Loco-Manipulation From SMPC Demonstrations With Sparse Offline-to-Online RL

This work uses Sample-based Model Predictive Control entirely in simulation as an automated, rapidly tunable expert to generate massive offline datasets and validate the robustness of this sim-to-real framework by successfully deploying complex loco-manipulation skills across different morphologies.