JiZhiJia Invests 50 Million RMB in ShenZhi, Debuts Two Robots at the 2026 Industrial Fair
极智嘉5000万元入股后,深诣在工博会首发两款机器人
JiZhiJia invested 50 million RMB in ShenZhi Robotics, acquiring a 20% stake. ShenZhi unveiled its self-developed embodied base model SE-1 and two robots at the 2026 Industrial Fair: Sculptor for multi-task heavy-duty logistics operations, and Edge for industrial precision manipulation.
The article details the launch of two new robots—Sculptor for heavy-duty logistics tasks and Edge for industrial fine manipulation—alongside the release of a self-developed embodied base model SE-1. The focus is on real-world deployment and the integration of reinforcement learning and embodied perception to enable continuous self-improvement in industrial and logistics settings.
Source: High-tech Robotics — WeChat · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
Reported success rate
>96%
- paper: not_reported
What remains unknown
Not established in the collected evidence: Environment, Control, Data origin.
Reported performance applies to the described task. It does not establish general autonomy or deployment readiness.
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
深诣机器人给Sculptor的定位是 “一机多能、开箱即用” :同一台机器人覆盖卡车装卸、混合拆码垛、箱式拣选、行李搬运等多种任务,多台还能组队协作,到现场后依靠基础模型直接上岗,作业数据再反哺模型持续学习。
Open source S14
在Sculptor多品类箱体混合码垛任务的演示中,18个尺寸、包装材质各异的纸箱模拟真实现场随机摆放,Sculptor可以做到自主识别不同货箱,结合箱体姿态、目标放置位置和当前堆叠状态调整抓取与放置策略,连续完成抓取、搬运与放置,将不同箱体码放成稳定的多层货垛。
Open source S16
在0.1mm级混合柔性线束双臂精密插接演示中,面对多组混合工业线束,Edge不仅要自主识别并匹配对应接口,还要在双臂协同抓取移动,甚至存在外部干扰的条件下,持续感知柔性线缆的动态形变姿态与双臂空间关系,实时修正轨迹完成0.1mm级精密对准与插接。
Open source S20
据罗宇透露,目前深诣机器人在该项精密对插任务上的统计成功率已超过96%。
Open source S21
Source:High-tech Robotics — WeChat · mp.weixin.qq.com