CONFERENCE INVITATION  邀 请 函

  07.01 - 07.02 ｜ SHANGHAI 上 海 

｜论坛主题

中文：循环经济正在从"拆解破碎、低值回炉"走向"逆向制造、高值再生"。退役整车、动力电池、轨交与船舶装备、电子设备的寿命终点链路，来料型号混杂、损伤状态随机、无固定工装，是典型的非结构化 Physical AI 场景。本论坛聚焦以多模态感知-损伤推理-柔顺执行-分级判定闭环驱动的逆向拆解机器人、退役电池无损拆解与梯次利用判定、混杂物智能分选与高值元器件识别、退役零部件自主质检分级、再制造自适应修复与逆向供应链数字孪生，链接汽车拆解、电池回收、报废电子、再制造与合规处理企业，推动产品全生命周期最后一环实现自主化、可追溯、高值化。

English：The circular economy is shifting from "shredding for low-value scrap" to "reverse manufacturing for high-value recovery". End-of-life vehicles, traction batteries, rail and marine assets, and electronic devices present a cluttered, model-mixed, randomly-damaged, non-fixtured environment—an archetypal Physical AI use case. This forum focuses on reverse-disassembly robots driven by a perception-reasoning-compliant-execution-grading closed loop, non-destructive disassembly and second-life grading of retired batteries, intelligent sorting of mixed wastes with high-value component recognition, autonomous quality grading of retired parts, adaptive remanufacturing repair, and reverse-supply-chain digital twins. It connects vehicle dismantlers, battery recyclers, e-waste processors, remanufacturers and compliance handlers, automating, tracing and value-adding the final link of the product lifecycle.

｜主旨议题

-从破碎回炉到逆向制造：循环经济的 Physical AI 范式

-退役电池无损拆解与梯次利用分级：力控柔顺与安全感知

-混杂废弃物智能分选与高值元器件识别

-退役零部件无损质检分级、再制造自适应修复、逆向供应链数字孪生

-循环经济 PAI 的安全、分级可信度与商业化经济模型

-Design for Disassembly 与逆向链路数字孪生

｜圆桌议题

-跨型号、跨状态柔性拆解如何落地，避免一车型/一型号一方案？

-退役电池无损拆解的安全边界、力控精度与热失控在线感知怎么定义？

-损伤分级判定如何做到可信，避免误判导致的二次安全或经济浪费？

-再制造件重回市场的质检结论，如何取得认证与车规级信任？

-高值元器件分选的经济模型，如何跑赢"直接粉碎熔炼"？

-正向设计（Design for Disassembly）与逆向拆解如何打通，推动可拆解性进入新品设计？