works on

From the 1 of 16 linked papers with an AI index.

collaborators

16 papers

cs.RO2026

DynamicWAM: Dual-Path Motion Conditioning for World-Action Models in Dynamic Manipulation

Yunfan Lou, Hewen Gao, Xiyu Zhu +6

Dynamic manipulation requires robots to infer target motion and respond promptly, yet existing World-Action Models (WAMs) typically condition only on the current frame and execute…

cs.RO2026

Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning

Zishuo Li, Bowen Yang, Changtao Miao +29

The paper introduces Open-AoE, a large-scale egocentric video dataset of human manipulation together with a processing and downstream toolchain that provides hand pose, camera traj…

cs.AI2026

EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents

Ruofei Ju, Xinrui Wang, Xin Ding +12

Embodied agents can benefit from skills that guide object search, action execution, and state changes across diverse environments. Since embodied environments vary across layouts,…

cs.CV2026

Em-Garde: A Propose-Match Framework for Proactive Streaming Video Understanding

Yikai Zheng, Xin Ding, Yifan Yang +6

Recent advances in Streaming Video Understanding has enabled a new interaction paradigm where models respond proactively to user queries. Current proactive VideoLLMs rely on per-fr…

cs.CV2026

VGGT-Edit: Feed-forward Native 3D Scene Editing with Residual Field Prediction

Kaixin Zhu, Yiwen Tang, Yifan Yang +9

High-quality 3D scene reconstruction has recently advanced toward generalizable feed-forward architectures, enabling the generation of complex environments in a single forward pass…

cs.RO2026

MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents

Xin Ding, Xinrui Wang, Yifan Yang +9

Existing memory systems for embodied agents typically inject retrieved memory as static context at episode start, a paradigm we term Ahead-of-time Monolithic Memory Injection (AMMI…