Paper Detail
XPolicyLab Community, Tianxing Chen, Yue Chen, Tian Nian, Zijian Cai, Guangyu Chen, Wenwei Lin, Qiwei Liang, Peicheng Xiang, Kailun Su, Zixuan Li, Junyuan Tang, Yan Qin, Qiangyu Chen, Shaolong Zhu, Xiang Li, Jiahao Zhang, Weijie Wan, Baijun Chen, Honghao Su, Kehe Ye, Shujia Liu, Kaixuan Wang, Haotian Liang, Yunze Liu, Mingleyang Li, Yuran Wang, Boyu Chen, Hongzhe Bi, Shuhe Huang, Hengkai Tan, Jisong Cai, Yao Mu, Jun Guo, Xiaofeng Wang, Zheng Zhu, Weijie Ke, Hengtao Li, Yuhang Tang, Xiaofan Li, Ganlin Yang, Zhangzheng Tu, Shuai Yang, Wenxuan Song, Pengxiang Ding, Kaidong Zhang, Yu Sun, Junliang Guo, Tong Zhang, Yixing Chen, Rongxu Cui, Zongzheng Zhang, Haoxiang Ma, Junhao Cai, Haoyu Zhang, Senqiao Yang, Jinhui Ye, Pengguang Chen, Shu Liu, Xiu Su, Wenhan Fang, Wenhao Li, Yichao Cao, Chengyao Wang, Qiang Chen, Ping Luo, Wenbo Ding
Robot policy evaluation and deployment remain fragmented by model-specific software dependencies, data representations, and runtime interfaces, so that connecting N policies to M evaluation environments requires O(NM) separate integrations. We present XPolicyLab, a unified standard and open ecosystem that reduces this cost to O(N+M). XPolicyLab specifies common observation, action, and trajectory schemas together with a minimal adapter interface for observation updates, action prediction, batched execution, and episode reset, while a dependency-isolated client/server architecture separates policy inference from environment execution, so that each side retains its native software stack and may run locally or remotely. The ecosystem integrates 42 robot policies and standardizes their installation, debugging, serving, and evaluation workflows. Across these adapters, model-specific code varies by an order of magnitude while the environment-facing loop stays within a few lines of a fixed reference, confirming that the contract confines heterogeneity to the policy side. In a controlled study, conforming to the standard reduces the integration effort of a representative policy from over five hours to two hours, and packaged agent skills reduce it further to thirty minutes. The same adapters serve RoboTwin, RoboDojo simulation, and standardized real-robot evaluation through one interface. XPolicyLab is released as shared infrastructure for reproducible policy comparison and standardized deployment across simulation and physical platforms. Project website: https://xpolicylab.github.io/.
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@article{community2026xpolicylab,
title = {XPolicyLab: A Unified Standard and Open Ecosystem for Robot Policy Evaluation and Deployment},
author = {XPolicyLab Community and Tianxing Chen and Yue Chen and Tian Nian and Zijian Cai and Guangyu Chen and Wenwei Lin and Qiwei Liang and Peicheng Xiang and Kailun Su and Zixuan Li and Junyuan Tang and Yan Qin and Qiangyu Chen and Shaolong Zhu and Xiang Li and Jiahao Zhang and Weijie Wan and Baijun Chen and Honghao Su and Kehe Ye and Shujia Liu and Kaixuan Wang and Haotian Liang and Yunze Liu and Mingleyang Li and Yuran Wang and Boyu Chen and Hongzhe Bi and Shuhe Huang and Hengkai Tan and Jisong Cai and Yao Mu and Jun Guo and Xiaofeng Wang and Zheng Zhu and Weijie Ke and Hengtao Li and Yuhang Tang and Xiaofan Li and Ganlin Yang and Zhangzheng Tu and Shuai Yang and Wenxuan Song and Pengxiang Ding and Kaidong Zhang and Yu Sun and Junliang Guo and Tong Zhang and Yixing Chen and Rongxu Cui and Zongzheng Zhang and Haoxiang Ma and Junhao Cai and Haoyu Zhang and Senqiao Yang and Jinhui Ye and Pengguang Chen and Shu Liu and Xiu Su and Wenhan Fang and Wenhao Li and Yichao Cao and Chengyao Wang and Qiang Chen and Ping Luo and Wenbo Ding},
year = {2026},
abstract = {Robot policy evaluation and deployment remain fragmented by model-specific software dependencies, data representations, and runtime interfaces, so that connecting N policies to M evaluation environments requires O(NM) separate integrations. We present XPolicyLab, a unified standard and open ecosystem that reduces this cost to O(N+M). XPolicyLab specifies common observation, action, and trajectory schemas together with a minimal adapter interface for observation updates, action prediction, batche},
url = {https://arxiv.org/abs/2608.09892},
keywords = {cs.RO},
eprint = {2608.09892},
archiveprefix = {arXiv},
}
{}