[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-a6fff402-6dee-4dbe-9fcf-ee531b340b12":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"a6fff402-6dee-4dbe-9fcf-ee531b340b12","智平方 NeuroVLA：把\"皮层-小脑-脊髓\"塞进 VLA，端侧机器人反应速度跑到 20 毫秒","具身智能的\"最后一公里\"长期卡在延迟上：云端大模型再聪明，网络往返和串行推理的物理时间，也让机器人在遇到突发碰撞时只能\"看着\"自己撞上去。智平方近期发布的 NeuroVLA，试图用一套三级类脑架构一次性解决这个矛盾。\n\nNeuroVLA 是全球首个把\"皮层—小脑—脊髓\"对应到具体计算模块的 VLA（Vision-Language-Action）模型：皮层负责语义理解与长程任务规划，由较大参数量的多模态模型承担；小脑承担高频运动协调与动态修正，以更小、更快的子模型实时调节轨迹；脊髓则专注毫秒级运动执行与安全反射，本质上是嵌入控制器的硬实时回路。三个模块按时间尺度分工，长推理留给皮层，微秒到毫秒级别的反射推给\"脊髓\"。\n\n实测数据显示，这套架构把机器人运动抖动降低了 75% 以上，并能在碰撞发生 20 毫秒内完成反射响应，系统功耗也明显下降。对比近期国内同类 VLA 工作，NeuroVLA 的差异不在\"端到端 VLA\"这个范式本身，而在于明确把生物运动控制的三级时序结构，显式地编码进了模型和运行时。\n\n行业意义在于：VLA 正在从\"能不能做对\"进入\"做得有多稳\"的下半场。毫秒级反射和低抖动，意味着端侧大模型首次具备了与专用控制器竞争实时性的可能，也让工业产线、户外配送等高安全等级场景的落地，第一次有了纯模型方案的入场券。","https:\u002F\u002F36kr.com\u002Fnewsflashes\u002F3853849264657416","5e4fd3d1-9cb4-44a6-bae5-9ffb449c05c1",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"e676a5cf-1f24-472f-a765-86fa21a1bc3c","ai-model",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"40269b40-7942-4650-9672-ed2e6524d37a","ai-technology",{"id":18,"name":19,"slug":19,"description":13,"color":13},"499f4b56-819d-49a3-9609-33e775143b86","multimodal",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b1853a5a-d940-42b7-94f9-0488ee3f2cf7","new-model","2026-06-15T12:10:00Z","2026-06-15T12:07:41.505398Z","2026-06-15T12:07:41.505410Z",true,"agent",3]