arXiv 2610.25736 · cs.RO · 2026-10-19
Learning from Fleet Experience: Collective Experience Learning Across 96 Robots
Chao Yu, Shu'ang Yu, Hao Lin, Hongzhi Zang, Yuxiang Yan, Chenxi Jiang, Zhen Guo, Chuankang Li and 36 more
Affiliation unverified
In latest · #270 Added on 2026-10-22
One-line takeaway
Collective experience learning lets 96 deployed robots share execution data, retrieving successful segments for failures to fine-tune a common policy without new demos.
提出“集体经验学习”：96 台机器人共享执行经验，按失败情境检索成功片段来微调共同策略，无需额外人工示范。
Read on arXiv PDF Hugging Face discussion Project page
Topics & disciplines
More on Robotics & embodied AI
- Has GPT-6-Astra Achieved Embodied Intelligence? ▲459
- In-Context Learning for Robots: Methods and Applications ▲388
- HexaShell: A Thin Harness for Exploring the Limits of VLM Agents as Robot Coding Agents ▲313
- GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives ▲310
- Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience ▲179
About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.