#robot learning
7 papers match
Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer
Weiquan Lin, Yu Deng, Shiyang Liu +6
This survey systematically reviews how large foundation models provide geometric, semantic, and visual priors for hand‑object interaction tasks such as reconstruction and generatio…
From Passive Video to Editable Experience: Physically Grounded Experience Synthesis for Embodied Intelligence
Jia Luo
The paper presents Pegasus, a framework that converts human manipulation videos into robot-learnable data by building intermediate graph representations and verifying them with phy…
VOiLA: Vectorized Online Planning with Learned Diffusion Models for POMDP Agents
Marcus Hoerger, Rishikesh Joshi, Rahul Shome +2
VOiLA learns task‑agnostic POMDP transition and observation models with conditional diffusion networks, distills them into fast feed‑forward generators, and integrates them with a…
Semantic Anchoring for Robotic Action Representations
Yuan Xu, Youheng Shi, Chengyang Li +2
The paper studies how fine‑tuning vision‑language‑action models for robots can degrade the semantic structure of their action representations, and proposes a plug‑and‑play anchorin…
Let It Be Simple: One-Step Action Generation for Vision-Language-Action Models
Yitong Chen, Shiduo Zhang, Jingjing Gong +1
The paper proposes a one-step action generation method for vision‑language‑action models, using high‑noise training and a flow‑matching loss, and demonstrates strong performance on…
Towards Predictive, Aligned, and Scalable Robot Learning
Peijun Tang, Shangjin Xie, Baifu Huang +6
The paper introduces Lumo-2, a latent world-action model that reasons about future physical dynamics in a shared latent space to generate robot actions, using a multi‑stage alignme…