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Long-horizon mobile manipulation presents significant challenges due to compounding execution errors and capacity interference between locomotion and arm control. While recent Vision-Language-Action models excel at short-horizon tasks, they lack the hierarchical reasoning required for multi-stage objectives. Furthermor...
LiFR v2 is presented, a unified propagation-completion-memory framework for causal anytime and streaming dense prediction from an RGB keyframe and events and introduces an Event-Guided Completion Module (EGCM) and a History Retrieval Module (HRM) to reuse completed representations across successive queries.
OptiGeo is introduced, a bias-aware training framework that rehabilitates biased real supervision using a clean-geometry teacher and residual-trimmed alignment and outperforms substantially larger 300M-scale monocular models and billion-scale multi-view baselines on transparent-scene benchmarks, while remaining competi...
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