works on

From the 1 of 23 linked papers with an AI index.

collaborators

23 papers

cs.RO2026

SkillMemo: Expert-guided Skill Memory Framework for Compositional Embodied Manipulation

Changyuan Wang, Chubin Zhang, Zhenyu Wu +8

Embodied visuomotor models, including Diffusion Policy (DP) and Vision-Language-Action (VLA) models, have demonstrated promising performance on robotic manipulation benchmarks. How…

cs.RO2026

GigaWorld-Policy-0.5: A Faster and Stronger WAM Empowered by AutoResearch

GigaWorld Team, Angen Ye, Angyuan Ma +26

The paper introduces GigaWorld-Policy-0.5, a robot control model that learns from future visual dynamics during training but generates actions only at inference, achieving faster (…

cs.RO2026

GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation

GigaWorld Team, Angyuan Ma, Boyuan Wang +24

Evaluating embodied robot foundation models remains a critical bottleneck; unlike large language models efficiently assessed via digital benchmarks, robotic policies require slow,…

cs.RO2026

R2RDreamer: 3D-aware Data Augmentation for Spatially-generalized 2D Manipulation Policies

Xiuwei Xu, Haowen Sun, Angyuan Ma +7

Spatial generalization is critical for imitation-learned manipulation policies, but achieving it typically requires scaling demonstrations across diverse object poses, robot config…

cs.RO2026

iMaC: Translating Actions into Motion and Contact Images for Embodied World Models

Zhenyu Wu, Xiuwei Xu, Yukun Zhou +8

Embodied world models have emerged as a pivotal paradigm for visual robotic decision-making and interactive environment simulation. However, conventional embodied frameworks rely o…

cs.RO2026

AwareVLN: Reasoning with Self-awareness for Vision-Language Navigation

Wenxuan Guo, Xiuwei Xu, Yichen Liu +7

Vision-and-Language Navigation (VLN) requires an agent to ground language instructions to its own movement within a visual environment. While state-of-the-art methods leverage the…