The Great March 100: 100 Detail-oriented Tasks for Evaluating Embodied AI Agents
By: Ziyu Wang, Chenyuan Liu, Yushun Xiang, Runhao Zhang, Qingbo Hao, Hongliang Lu, Houyu Chen, Zhizhong Feng, Kaiyue Zheng, Dehao Ye, Xianchao Zeng, Xinyu Zhou, Boran Wen, Jiaxin Li, Mingyu Zhang, Kecheng Zheng, Qian Zhu, Ran Cheng, Yong-Lu Li
Published: 2026-01-16
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Abstract
This paper introduces "The Great March 100" (GM-100), a benchmark of 100 detail-oriented tasks for evaluating embodied AI agents. It addresses limitations in existing datasets by providing a diverse and challenging set of tasks to comprehensively assess robotic agents' capabilities, thereby promoting advancements in robot learning and imitation learning.