学进去

Imagine a team of humans and robots working together to process online orders. Real-life workers strategically positioned among their automated coworkers who are moving intelligently back and forth in a warehouse (仓库)space, picking items for shipping to the customer.

This could become a reality sooner or later thanks to researchers at the University of Missouri, who are working to speed up the online delivery process by developing a software model designed to make transport robots smarter.

“The robotic technology already exists,” said Sharan Srinivas, who specializes in data analytics and operations research. “Our goal is to best apply this technology through efficient planning. To do this, we’re asking questions like ‘given a list of items to pick, how do you optimize (优化)the route plan for the human pickers and robots?’ or ‘how many items should a robot pick in a given tour?’ Likewise, we have a similar set of questions for the human worker. The most challenging part is optimizing the collaboration plan between the human pickers and robots.”:

Currently, a lot of human effort and labor costs are involved with fulfilling online orders. To help optimize this process, robotic companies have already developed cooperative robots, also known as cobots or autonomous mobile robots (AMRs), to work in a warehouse or distribution center. AMRs are equipped with sensors and cameras to help them navigate(确定方向)around a controlled space like a warehouse.

Srinivas said, “The robot is intelligent, so if it’s instructed to go to a particular location, it can navigate the warehouse and not hit any workers or other obstacles along the way. AMRs are not designed to replace human workers, but instead can work cooperatively alongside them to help increase the efficiency of the order fulfillment process.”

“The one drawback is that these robots do not have good grasping abilities,” said Srinivas. “But humans are good at grasping items, so we are trying to balance the strength of both resources.”