WRC展会拿旧Demo炒冷饭？扒一扒千寻藏在水下的全栈底牌
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TL;DR - Qianxun Intelligence says its Moz1 robot substantially improved reliability on long-horizon household tasks within 30 days by jointly refining data pipelines, post-training, agent planning, navigation, hardware, and deployment infrastructure. The work matters because it shifts embodied-AI evaluation from one-off demos toward repeatable performance, rapid failure-driven iteration, and real-world deployment.
- Reported success rates rose from about 80% to over 99% for placing a can in a refrigerator and from about 90% to over 99% for loading a bowl into a dishwasher; navigation-target selection time fell nearly 50%.
- Its stack combines the Spirit v1.6 VLA/world model, a stateful agent for task decomposition and recovery, navigation to manipulation-ready poses, and continuous collection and retraining from failures.
- The company emphasizes varied “dirty data” for robustness, claiming its seventh-generation collection equipment reduced collection costs to one-tenth of conventional teleoperation while raising usable data from 30% to 95%.
- Moz1 has entered CATL battery-pack production for nonstandard connector insertion, where Qianxun reports over 99% task success and daily throughput up to three times that of a skilled worker.
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WRC展会拿旧Demo炒冷饭？扒一扒千寻藏在水下的全栈底牌
TL;DR - Qianxun Intelligence says its Moz1 robot substantially improved reliability on long-horizon household tasks within 30 days by jointly refining data pipelines, post-training, agent planning, navigation, hardware, and deployment infrastructure. The work matters because it shifts embodied-AI evaluation from one-off demos toward repeatable performance, rapid failure-driven iteration, and real-world deployment.
- Reported success rates rose from about 80% to over 99% for placing a can in a refrigerator and from about 90% to over 99% for loading a bowl into a dishwasher; navigation-target selection time fell nearly 50%.
- Its stack combines the Spirit v1.6 VLA/world model, a stateful agent for task decomposition and recovery, navigation to manipulation-ready poses, and continuous collection and retraining from failures.
- The company emphasizes varied “dirty data” for robustness, claiming its seventh-generation collection equipment reduced collection costs to one-tenth of conventional teleoperation while raising usable data from 30% to 95%.
- Moz1 has entered CATL battery-pack production for nonstandard connector insertion, where Qianxun reports over 99% task success and daily throughput up to three times that of a skilled worker.