NeuroVLA: The Global First Class-Brain Architecture VLA Embodied Large Model
用数据看智平方机器人：200亿估值背后的真实进度条
Zhi Fang Ping has developed NeuroVLA, the first class-brain architecture VLA embodied large model, featuring a 'cerebral cortex-cerebellum-spinal cord' three-layer system. It demonstrates safety reflexes in 20 milliseconds, 80.2% reduced jerk, and 0.4W power consumption. The company has achieved commercial deployment across 7+ industries, with 2000 annual production capacity and a 1000-unit order from Huiké. The model's progress is supported by data and industry recognition, though real-world deployment and long-term viability remain to be validated.
Source: Chinese robotics — Company news discovery · 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
rounds_of_funding
12
collision_reaction_time
20
View original evidence
NeuroVLA的核心数据:碰撞后 20毫秒 安全反射(传统系统>200毫秒),急动度峰值降低 80.2% ,“脊髓”层功耗仅 0.4瓦 。
Open source S11peak_jerk_reduction
80.2
View original evidence
NeuroVLA的核心数据:碰撞后 20毫秒 安全反射(传统系统>200毫秒),急动度峰值降低 80.2% ,“脊髓”层功耗仅 0.4瓦 。
Open source S11power_consumption
0.4
View original evidence
NeuroVLA的核心数据:碰撞后 20毫秒 安全反射(传统系统>200毫秒),急动度峰值降低 80.2% ,“脊髓”层功耗仅 0.4瓦 。
Open source S11Reported duration
20,000–50,000 hours
orders_amount
500,000,000
View original evidence
” 三、场景:7+行业,从首单到复购 智平方的商业化数据按场景展开: 半导体显示 :惠科股份 3年1000台 订单,金额近 5亿元 ,被摩根士丹利认定为 “全球生产力型机器人最大的单一订单” 。
Open source S18
- paper: not_reported
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
2026年,智平方完成近50亿元新一轮融资,估值突破200亿元,成为粤港澳大湾区首个估值正式突破200亿的具身智能企业。
Open source S2
一年内累计完成12轮融资。
Open source S3
NeuroVLA的核心数据:碰撞后 20毫秒 安全反射(传统系统>200毫秒),急动度峰值降低 80.2% ,“脊髓”层功耗仅 0.4瓦 。
Open source S11
核心部件 无故障运行2万-5万小时 ,这是与演示型机器人的本质区别——演示型机器人不需要考虑连续运行2万小时以上的可靠性。
Open source S16
” 三、场景:7+行业,从首单到复购 智平方的商业化数据按场景展开: 半导体显示 :惠科股份 3年1000台 订单,金额近 5亿元 ,被摩根士丹利认定为 “全球生产力型机器人最大的单一订单” 。
Open source S18
Source：Chinese robotics — Company news discovery · cj.sina.com.cn