Robotics PapersA programme for reading clubs

Topic 12 of 17

Foundation models & pretraining in robotics

Foundation models for robotics are policies pretrained across many robots, tasks and datasets, betting that scale and diversity produce transfer the way they did in language. Cross-embodiment training, scaling-law studies and generalist policies all live here.

73papers in 2026-07
6.24%of all cs.RO that month
+1.89ppshare change, last 6 vs prior 12 months
24-month volume

arXiv query: cat:cs.RO AND (abs:"foundation model" OR abs:"cross-embodiment" OR abs:"generalist policy")

Presented at reading clubs

These already have a slide kit, so they are the fastest ones to pick up and present.

2026-03-24
Haoran Yuan, Weigang Yi, Zhenyu Zhang +9 · 12 citations
2026-02-06
Shenyuan Gao, William Liang, Kaiyuan Zheng +27 · 96 citations
2025-12-27
Simar Kareer, Karl Pertsch, James Darpinian +5 · 39 citations
2025-09-23
Ryan Punamiya, Dhruv Patel, Patcharapong Aphiwetsa +5 · 30 citations
2025-08-13
Oriane Siméoni, Huy V. Vo, Maximilian Seitzer +23 · 1,312 citations
2025-05-16
Ryan Hoque, Peide Huang, David J. Yoon +2 · 193 citations

Recent work

2026-09-03
Trans. Mach. Learn. Res.World modelsVision-language-action

379 papers in this corpus carry the foundation models & pretraining tag. How tagging works.