MIF integrates appearance, spatial, and geometry fields with discrepancy detection to raise humanoid relocation success from 12% to 94% in dynamic offices while cutting memory use by 91.4%.
Dinov2: Learning robust visual features without supervision.Transactions on Machine Learning Research Journal, pages 1–31, 2024
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Learning to Evolve: Multi-modal Interactive Fields for Robust Humanoid Navigation in Dynamic Environments
MIF integrates appearance, spatial, and geometry fields with discrepancy detection to raise humanoid relocation success from 12% to 94% in dynamic offices while cutting memory use by 91.4%.