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Shenyi Robot Unveils SE-1 Model and Sculptor, Edge Robots at CIIF
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Shenyi Robot released its self-developed embodied foundation model SE-1, along with two products—the logistics operation robot Sculptor and the industrial operation dual-arm robot Edge—at the 2026 China International Industry Fair, held October 12–16. In on-site demonstrations, Sculptor demonstrated mixed-category case palletizing, and Edge demonstrated 0.1mm-level precision insertion and interactive candy sorting/packing. Shenyi, citing a comparison of actual operations before and after reinforcement learning, said that with reinforcement learning and OMPO experience-matching technology, Sculptor showed clear improvements in behaviors such as case-picking selection, grasp pose, and multi-layer stacking compared with the supervised fine-tuning stage. Through configurable mobile bases, end effectors, and embodied systems, the two robots target logistics operation needs such as truck loading and unloading, mixed depalletizing and palletizing, case picking, and baggage handling, exploring reuse of the same platform across multiple tasks; Sculptor, relying on the SE-1 model, autonomously understands tasks and generates corresponding operations.
Report timeline
- Shenyi Robot unveils embodied foundation model SE-1 and two robots, Sculptor and Edge, at the 2026 CIIF
Three days after Geek+ invested 50 million yuan in Shenyi Robot for a 20% stake, Shenyi Robot, which was founded just nine months ago, unveiled its self-developed embodied foundation model SE-1 at the 2026 CIIF, along with Sculptor, a multi-task embodied operation robot focused on heavy-load logistics, and Edge, a dual-arm robot focused on fine industrial operations.
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- Shenyi Robot unveils SE-1 model and Sculptor, Edge robots at CIIF, driven by reinforcement learning toward self-evolution
Shenyi Robot appeared at the 2026 CIIF from October 12-16, unveiling its self-developed embodied foundation model SE-1 and the logistics handling robot Sculptor and industrial dual-arm robot Edge. Sculptor demonstrated mixed-category case palletizing, while Edge demonstrated 0.1mm-level precision insertion and interactive candy sorting. Through reinforcement learning and OMPO experience-matching technology, Sculptor showed clear improvement over the supervised fine-tuning stage in behaviors such as case selection, grasp pose, and multi-layer stacking.
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