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cs.RO2026

DLAM: Distributional Latent Actions with Temporal Constraints

Zuojin Tang, Feifan Luo, Haoyun Liu +10

Vision-language-action (VLA) models remain constrained by scarce action-labeled robot data, whereas action-free videos offer abundant observations of physical change. Latent action…

cs.CV2026

ABot-M0.5: Unified Mobility-and-Manipulation World Action Model

Ronghan Chen, Yandan Yang, Zuojin Tang +18

Mobile manipulation is a key capability for general-purpose robots, yet remains challenging for current embodied learning methods. VLA policies are typically reactive and lack expl…

cs.CV2026

Long-Text-to-Image Generation via Compositional Prompt Decomposition

Jen-Yuan Huang, Tong Lin, Yilun Du

While modern text-to-image (T2I) models excel at generating images from intricate prompts, they struggle to capture the key details when the inputs are descriptive paragraphs. This…

cs.CV2026

FARTrack: Fast Autoregressive Visual Tracking with High Performance

Guijie Wang, Tong Lin, Yifan Bai +4

Inference speed and tracking performance are two critical evaluation metrics in the field of visual tracking. However, high-performance trackers often suffer from slow processing s…

cs.CV2026

ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning

Yandan Yang, Shuang Zeng, Tong Lin +11

Building general-purpose embodied agents across diverse hardware remains a central challenge in robotics, often framed as the ''one-brain, many-forms'' paradigm. Progress is hinder…