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Review Oct 2026

Towards Agentic Robots: Model, Data, Environment, and Harness

Foundation models are driving a paradigm shift in robotic intelligence, moving beyond low-level action prediction to goal-directed orchestration of data collection, model training, task planning, and real-world execution. We characterize this emerging paradigm as an agentic robots, in which agents reason over human ins...

Chonghan Qin, Dong-Ming Wu, Kai-Tuo Feng et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Vela: Scaling Vision-Language-Action Models with Adaptive Action Curve Parametrization

Most vision-language-action models represent future motion as fixed-rate action chunks, tying temporal resolution and prediction horizon to a fixed output budget. This pointwise representation wastes capacity on highly correlated neighboring actions, leaves temporal continuity and smoothness to be learned implicitly, a...

Yi-Fan Li, Jia-Xu Wang, Dong-Ming Wu et al. · 0 citations

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