
一家中国初创公司演示了一款包裹分拣机器人,在受限的物流任务中超越了Figure 03,且成本仅为其零头。工业部署窗口现已开启,而非2028年。
简言之: X Square的Wall-B机器人在包裹分拣的同场直播演示中超越了Figure 03——硬件成本仅为其30%。这被誉为中国机器人领域的“DeepSeek时刻”,其框架结构恰如其分。
中国机器人初创公司X Square在直播演示中,其专用物流机器人Wall-B在一小时内分拣了1816个包裹,吞吐量较Figure 03的200小时基准(每小时1248个包裹)高出45%,而硬件成本仅为其30%。Figure 03是一款由美国初创公司打造的资金充足的通用人形机器人。Wall-B则是专为单一任务设计的专用机器人。WALL-B的世界统一模型承载了任务复杂性,而非依赖定制硬件。
DeepSeek的类比在战略层面成立:通过重新思考硬件假设,而非追求原始能力,在受限任务上实现接近前沿的性能。直播演示并非受控基准测试——但45%的吞吐量差距和70%的成本差异足够显著,即使考虑到种种保留意见,其数量级仍然可信。
更深层的信号是:中国的机器人生态系统(X Square、LimX Dynamics、Unitree)正在以可负担的价格生产硬件,使工业部署在经济上可行。竞争的焦点不再是“谁造出最好的机器人”,而是“谁能率先规模化部署并抢占物流学习曲线”。
X Square和LimX Dynamics在中国物流领域的部署合同;Figure和1X的定价回应;美中零部件准入限制是否会限制中国机器人的规模化发展。
本文由人工智能撰写,并经人工编辑审核。
That 70% cost cut is impressive, but I wonder how long before the parts wear out or the efficiency drops in a real warehouse. Unless they’ve solved long-term reliability, it’s just another flashy demo.
But can we trust the demo’s constraints? A 70% cost cut sounds great, but real-world sorting floors rarely match controlled tests.
Still, I worry about maintenance costs and the lifespan of cheaper parts over years of 24/7 ops. A robot’s real value isn’t just upfront price-it’s reliability under pressure.
This is huge. A 70% cost cut while outperforming the Figure 03 in sorting tasks? The logistics revolution just got a turbo boost.
Yeah but sorting tasks are just the low-hanging fruit; handling dynamic environments is where the real challenge kicks in.
If this holds up in varied warehouse conditions, it could redefine logistics automation overnight. But will the robots keep pace with seasonal peak loads?
Interesting, but I wonder if the 70% cost reduction includes software licensing or future updates-often the hidden killer in robotics.
70% cheaper is impressive, but I’d like to know how much accuracy drops when the system gets messy - real sorting floors aren’t this clean.
Interesting, but I wonder: at what throughput rate? Speed and accuracy matter more than hardware cost in high-volume sorting-does X Square’s robot handle peak loads smoothly?
Course aux modèles fondation embodied : X-Square, Xiaomi, GR00T