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20242026
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cs.RO2026

KAI: A Kinematic-Aware Interface for Data-Efficient Articulated Object Manipulation

Yaping Li, Zhaxizhuoma, Qiaojun Yu +3

Articulated object manipulation requires an understanding of kinematic structure that is difficult and costly to learn from robot demonstrations alone. We introduce the Kinematic-A…

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

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

ForceVLA2: Unleashing Hybrid Force-Position Control with Force Awareness for Contact-Rich Manipulation

Yang Li, Zhaxizhuoma, Hongru Jiang +11

Embodied intelligence for contact-rich manipulation has predominantly relied on position control, while explicit awareness and regulation of interaction forces remain under-explore…

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…