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cs.RO2026

RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation

Ziqin Wang, Hao Li, Weijun Wang +5

Existing robot datasets remain expensive to curate, embodiment-specific, and insufficiently annotated with the fine-grained structure required for generalizable reasoning, executio…

cs.RO2026

Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation

Jiaqi Peng, Xiqian Yu, Delin Feng +10

While recent Vision-Language-Action (VLA) models show promise toward generalist manipulation policies, they struggle with long-horizon tasks due to their Markovian nature-relying s…

cs.RO2026

InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization

Haoxiang Ma, Junhao Cai, Xiaoxu Xu +26

Unified models for robot manipulation aim to equip one policy with both the semantic priors of pretrained VLMs and the physical dynamics learned through future prediction. In pract…

cs.RO2026

Robo3R: Enhancing Robotic Manipulation with Accurate Feed-Forward 3D Reconstruction

Sizhe Yang, Linning Xu, Hao Li +4

3D spatial perception is fundamental to generalizable robotic manipulation, yet obtaining reliable, high-quality 3D geometry remains challenging. Depth sensors suffer from noise an…

cs.RO2026

FutureVLA: Joint Visuomotor Prediction for Vision-Language-Action Model

Xiaoxu Xu, Hao Li, Jinhui Ye +7

Predictive foresight is important to intelligent embodied agents. Since the motor execution of a robot is intrinsically constrained by its visual perception of environmental geomet…

cs.RO2026

UltraDexGrasp: Learning Universal Dexterous Grasping for Bimanual Robots with Synthetic Data

Sizhe Yang, Yiman Xie, Zhixuan Liang +4

Grasping is a fundamental capability for robots to interact with the physical world. Humans, equipped with two hands, autonomously select appropriate grasp strategies based on the…