注册并分享邀请链接,可获得视频播放与邀请奖励。

ClaraChengGo
@ClaraChengGo
Babysitting robots with model-ready data at @openmind_agi @fabricFND
加入 June 2022
4.4K 正在关注    6.8K 粉丝
Great work that measures GPT6 Astra as an Embodied Policy by Yu-Mool Shu and Lipxin Zheng. It further proves with numbers that VLA handles dexterous movement, while the General Model oversees supervision, error correction, and replanning. Interesting numbers: For the average performance across 10 tasks in RoboDojo, PI0.5 gets 24%, Astra gets 37% but together they achieves 62%. But for RoboLab, Astra itself gets 98%. As for the contribution, GPT 6 Astra is correcting only 14.4% of the executed control steps and the remaining 85.6% following the actions by PI0.5​. Link:
显示更多