Flow-based policies provide an expressive framework for continuous robot control, but their iterative ODE integration incurs substantial inference cost. Naively reducing the integration budget can severely degrade control, since policies optimized under full-step execution are not explicitly constrained to remain relia...
Ting Huang, Li-Rui Pan, Hao-Yu Wang et al.· 0 citations
Recent diffusion and autoregressive models have substantially improved text-to-video generation, yet producing coherent long-form story videos with consistent characters and aligned audio remains challenging. Existing methods often suffer from narrative drift, unstable character identity, weak cross-scene continuity, a...
Ting Huang, Biao Wu, Rong-Hao Chen et al.· 0 citations
This work proposes MobileVLA-R1 2.0, an RL-enhanced VLA framework that explicitly couples structured embodied reasoning with executable mobile robot control, and introduces a reasoning-conditioned action decoder that maps multimodal reasoning representations to task-level action targets, which are subsequently translat...
Ting Huang, Yue Huang, Ze-Yu Zhang et al.· 1 citation
ConsiSpace is proposed, a geometry-consistency-aware framework for geometry-sensitive video spatial reasoning that turns spatial consistency into both an evidence organization principle and an explicit post-SFT learning signal, and utilizes unified consistency self-supervised reinforcement learning (UC-SSRL) after supe...
