随着仓储物流自动化普及，移动机器人现已成为自动化作业中稳定可靠的智能工具。不同种类的机器人功能各不相同，将它们各自擅长的领域有机结合在一起，能为业务带来崭新活力。

多机混场调度的技术趋势，在海外专业领域引起广泛讨论，全球知名物流与供应链媒体Supply & Demand Chain Executive、Robotics 24/7、DC Velocity等专业媒体就此对壹悟科技进行了采访，并对壹悟科技多机混场调度技术表示高度认可。

摘自 Robotics 24/7：

The problem for warehouses is that most mobile robot set-ups are designed to do a limited set of tasks in a warehouse and, as warehouses add more robots, they are reaching the limits of possible efficiencies with current technology. What is needed is a way to seamlessly integrate robots from different vendors into a unified solution.

Advanced software allows automation flexibility of a type that has never been possible until now. One option it enables is the integration of mobile robots from different vendors, meaning that full workflow automation solutions suddenly become feasible. This allows logistics companies to choose robots from any vendor.

Such solutions offer high value for logistics managers because they use less warehouse space, allow scarce workers to be redeployed into higher value work, and – crucially – enable the system to automatically adapt to sudden changes.

仓储作业中，大多数移动机器人仅被设定为在仓库中完成一项固定的任务，并且随着机器人数量的增加，“无法交流”的它们将会达到当前业务效率极限。

此时，需要一种可以将不同供应商的机器人无缝集成到一套系统里的解决方案。

先进的软件技术实现了从未有过的灵活性，它让集成来自不同供应商的移动机器人变为可能，这也意味着全流程自动化解决方案也变得可行。

于此，物流公司就可以自由选择任何供应商的机器人来进行组合使用，仓库空间的利用率也将会进一步提升，并且还可以将人工释放到更高价值的工作内容中去，最重要的是赋予了系统能够自动适应业务变化的能力。

——Robotics 24/7

集群调度机器人本身就是一个复杂的问题，而“异构机器人集群调度”则更为复杂。各品牌的机器人在设计之初便被限定在自有软件框架内，所以当调度扩展到不同品牌时，机器人彼此间的差异也是无法进一步整体优化效率的阻碍。

摘自 Supply & Demand Chain Excutive：

The ideal situation from the customer’s point of view is to choose 'best-of-breed' products from different manufacturers and integrate them. Finding a software platform that is sophisticated enough to do this effectively is a major challenge.

Forward-thinking warehouse managers shouldn’t wait for their competitors to act first: now is the time to consider integrating large and diverse fleets of mobile robots into fully automated workflows.

从客户的角度来看，最佳的选择是将这些来自不同制造商的“王牌”产品集成在一起，但是优中选优的组合势必会遇到巨大的技术壁垒，一个足够复杂的软件平台则可以有效的应对这项挑战。