Author

D. Jiang

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Preprint Sep 2026

Inline Memory Meets Reusable Skills: Memory-centric Framework for Vision-Language-Action Model

Vision-Language-Action (VLA) models have shown strong promise for general-purpose robotic manipulation, yet adapting them to new tasks and domains remains inefficient: existing methods often rely on parameter tuning, incurring substantial costs and risking catastrophic forgetting of previously learned tasks. To address...

Zai-Jing Li, Rui Shao, Bing Hu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

From Where to How: Continuous 4D Interaction Forecasting from Egocentric Video

This work introduces Coherent4D, a large-scale egocentric dataset for continuous 4D interaction forecasting, comprising approximately 233K samples across three domains, and proposes HIGFlow, a Hand Interaction Guided Residual Flow framework that models forecasting as a cascaded where-to-how process.

Qiao-Hui Chu, Hao-Yu Zhang, Meng Liu et al. · 0 citations