RobotEra · embodied AI & robot learning星动纪元 · 具身智能与机器人学习
3 curated papers, code, datasets and hardware from RobotEra (3 with code), with one-line takeaways.3 个来自星动纪元的精选论文、代码、数据集与硬件（3 个附代码），均配一句话要点。
Labs are matched from each entry's affiliation field by simple name rules (data/labs.yaml); joint work appears under every lab named. Only curated entries are listed, because daily arXiv papers carry no affiliations.机构由每个条目的机构字段按名称规则匹配（data/labs.yaml），合作工作会出现在所有署名机构下。仅列出精选条目，因为每日 arXiv 论文不含机构信息。
Isaac Gym–based RL framework for humanoid locomotion with a sim-to-sim check in MuJoCo before deploying zero-shot to real humanoids; a common starting point for humanoid RL.基于 Isaac Gym 的人形机器人运动强化学习框架，先在 MuJoCo 中做 sim2sim 验证，再零样本部署到真实人形机器人，是人形 RL 的常用起点。
Blames WAM motion errors on video bases not tuned for manipulation and on naive action add-ons, then continues pretraining the video model on manipulation clips with event-level captions.认为世界动作模型的运动错误来自未针对操作优化的视频底座和粗糙的动作模块，因此在带事件级描述的操作视频上继续预训练视频模型。
@misc{guo2026video,
title = {{Video Prediction Policy 2: Predict Better, Act Better}},
author = {Yanjiang Guo and Haodong Yan and Zhide Zhong and Zhongru Zhang and Qingyuan Yang and Qingzhou Lu and Xiaoyu Chen and Yen-Jen Wang and Shuying Deng and Chenghan Yang and Puzhen Yuan and Chenxin Liu and Tun Ban and Xiang Zhu and Yichen Liu and Kun Feng and Haoang Li and Jianyu Chen},
year = {2026},
eprint = {2610.10270},
archivePrefix = {arXiv},
primaryClass = {cs.CV},
url = {https://arxiv.org/abs/2610.10270},
}
VPP — fine-tunes Stable Video Diffusion on robot and human videos and feeds its one-pass predictive features to a diffusion policy; reports 4.33 average length on CALVIN ABC→D and real Franka / dexterous-hand results.VPP：在机器人与人类操作视频上微调 Stable Video Diffusion，只做一次前向提取"预测性"视觉特征再交给扩散策略；论文报告 CALVIN ABC→D 平均完成长度 4.33，并有 Franka 与灵巧手真机实验。
@misc{hu2024video,
title = {{Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations}},
author = {Yucheng Hu and Yanjiang Guo and Pengchao Wang and Xiaoyu Chen and Yen-Jen Wang and Jianke Zhang and Koushil Sreenath and Chaochao Lu and Jianyu Chen},
year = {2024},
eprint = {2412.14803},
archivePrefix = {arXiv},
primaryClass = {cs.CV},
url = {https://arxiv.org/abs/2412.14803},
}