跟读练习: World’s most advanced robotic warehouse (AI automation) - 通过视频学习英语口语
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This is the world's most advanced e-commerce warehouse,
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run entirely by AI robots.
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This entire operation is managed by 48 BrightPick Autopicker robots.
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And these robots, they handle everything from replenishing inventory to robotically picking orders and getting them ready for dispatch.
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And that's how this facility,
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operated by leading sports nutrition retailer,
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The Feed, is able to work 24-7 and pick 50,000 items per day,
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all while just using a handful of actual people.
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That's right.
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This is the future of e-commerce fulfillment.
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And I am going to be taking you behind the scenes
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to give you a closer look at the cutting-edge technology and processes that make all of this possible,
为了让您更深入地了解实现这一切的前沿技术和工艺，
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from robotic picking to human picking,
从机器人拣选到人工拣选
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order buffering, packout, and stock replenishment.
订单缓存、打包出库及库存补货。
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We're even going to hear from the people who work inside this warehouse
我们甚至还会采访在这个仓库里工作的员工。
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and hear directly from them about what it's like to work alongside these robots.
并直接听取他们讲述与这些机器人一起工作是怎样的体验。
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So you'll definitely want to stay tuned until the end so you don't miss out on that.
所以你一定要坚持看到最后，才不会错过那部分内容。
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At the heart of any e-commerce operation is picking customer orders.
任何电商运营的核心环节都是拣选客户订单。
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Now, in a traditional warehouse setting,
如今，在传统仓库环境中，
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that also happens to be one of the most grueling jobs.
这也恰好是最艰苦的工作之一。
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I mean, imagine walking two marathons a week just to fulfill customer orders.
我的意思是，想象一下为了完成客户订单，每周要跑两次马拉松是什么感觉。
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Well, here, we do things a little bit differently.
嗯，在这儿，我们的做事方式有点不一样。
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Think of these BrightPick auto-pickers as humans with carts moving in and out of the warehouse aisles,
可以把这些BrightPick自动拣选机想象成推着推车在仓库过道里来回走动的人。
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autonomously picking and consolidating orders without ever getting tired or making a mistake.
自主完成订单拣选与合并，全程不会疲劳，也不会出错。
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So here's how it works.
下面就来介绍它的工作原理。
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The robot starts by grabbing an empty box called a tote,
机器人首先抓起一个被称为 tote 的空箱子。
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which is where it will collect picked items from one or multiple customer orders.
这里将收集来自一个或多个客户订单的拣选商品。
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It then heads into the storage area,
随后它进入存储区域，
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picks the necessary items from the storage totes,
从储物箱中挑选所需的物品，
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and places them into the order totes,
并将它们放入订单周转箱中。
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like a diligent little shopper checking every item off of its list.
就像一个勤快的小购物者，逐一核对清单上的每一件商品。
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And the robot does this repeatedly until the entire order is picked and ready to go.
机器人会反复执行这个操作，直到整个订单的所有商品都拣选完毕，准备发出。
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So how is it that these robots know exactly what to pick and when?
那么，这些机器人是如何准确知道该抓取什么、以及何时抓取的呢？
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Well, that's all made possible by AI.
这一切都是由人工智能实现的。
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Using the data from this 3D scanner,
利用这台3D扫描仪的数据，
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the AI maps out all of the individual items inside the storage tote
人工智能会绘制出储物箱内所有物品的位置分布图。
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and identifies the optimal picking point for each item based on its size, shape, and form.
并根据每件物品的大小、形状和形态确定其最佳拾取点。
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And the best part is that these robots,
最棒的是，这些机器人
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they don't care what they're picking.
他们根本不在乎自己选的是什么。
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Whether it's a bottle, a polybag,
无论是瓶子还是塑料袋，
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or something completely new, the AI technology ensures that these robots can reliably pick items,
或者是全新的物品，这项AI技术都能确保这些机器人可靠地抓取物品。
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even if they've never seen them before.
即便他们之前从未见过这些东西。
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And the best part is,
最棒的是，
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let's say this robot does fumble a pick,
假设这个机器人抓取时确实出现了失误，
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well, it's actually going to learn from its mistake using machine learning and improve for its next attempt.
实际上它会通过机器学习从错误中吸取教训，在下一次尝试时做出改进。
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Talk about smart.
这才叫聪明。
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Now, inevitably, there are going to be some items that these robots just can't pick on their own,
现在，不可避免地会有一些物品是这些机器人自己无法抓取的，
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whether that's due to a lack of a smooth,
这是否是因为缺乏顺畅的
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grippable surface, excessive weight, or an unstable center of gravity.
可抓握的表面、过重的重量，或是不稳定的重心。
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Well, that is where these good-to-person stations come into play.
这正是这些便民服务站发挥作用的地方。
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These stations function similarly to the robotic picking,
这些工作站的运作方式与机器人拣选类似。
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only instead of a robotic arm moving items from one tote to the next,
只不过这里不是用机械臂把物品从一个周转箱移到另一个周转箱，
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A human operator steps in assisted by this intuitive user interface found right here on each robot.
操作人员可借助每台机器人上配备的直观用户界面进行辅助操作。
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And what's impressive about this setup is
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that each station can handle up to four robots at one time from all four sides,
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ensuring that there is zero idle time between picks for the operator.
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Working with the robots is a lot different than our old location.
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At our old warehouse, we had to walk around with a box and manually pick everything.
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and sometimes the boxes were empty and we'd have to go find things.
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So now it's much more automated.
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We don't obviously have to do that anymore.
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The robots do all the picking for us,
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and we can just focus on packing and getting the product out the door.
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Training on the system was pretty seamless.
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I actually don't really remember training other than we just kind of wait for the robot to approach us,
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push the button, and send it on its way.
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So now let's talk about the final picking process known as pellet picking,
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which is meant for fast-moving items and bundles.
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Imagine you have a few best-selling products,
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or you're running a promotion with a free gift for every order.
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Well, storing these items within the automated system wouldn't make sense
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because you'd be replenishing them almost as fast as you were picking them out,
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kind of like trying to refill a leaky bathtub.
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So instead, these items are stored manually in cases or on cellies,
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the same way they arrive to the warehouse.
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Here is where human workers step in to pick the items directly from the pallet,
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and then they will place them into the order totes,
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which are carried by the robot.
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The auto pickers pull up to the designated pallet positions,
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request items that they need on the tablet,
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and the human operator quickly fetches them from behind.
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This method not only speeds up the picking process for these high demand items,
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but it also makes replenishment incredibly simple.
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Now this also works great for kitting,
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where you can have designated stations to assemble custom customer bundles that the robots then pick up.
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So as you can see,
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the beauty in the BrightPick solution is the seamless integration of all of these components,
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from robotic picking to good-to-person and pallet picking,
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all within the same system.
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For example, Bolt here could start off his day with a few robotic picks,
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then move on over to G2P picking,
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and then finish his day by handling some pallet picks,
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making this entire operation seamless and efficient.
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Once an order has been fully picked,
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one of two things will happen.
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Either the robot can take the order tote directly to pack out,
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or if the order isn't ready to go out immediately,
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the robot can temporarily buffer the order tote inside the system and then retrieve it for pack out when it's needed.
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This feature offers two big advantages.
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First off, it allows the robots to continue picking orders overnight while everybody else is asleep,
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ensuring that the orders are ready to be packed and shipped as soon as that first morning shift comes in.
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And second, it helps to smooth out the picking volumes throughout the day,
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reducing the huge spikes that tend to happen during peak hours.
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Both of these benefits enable this fulfillment setter to ship out more orders every day
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without having to spend more money on automation or labor.
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Now we're in the packout area,
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which is the final step before shipping orders out to customers.
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You can see that these packout stations are highly flexible,
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making it super easy to reconfigure them or add more stations.
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This adaptability combined with the order buffer makes ramping up or down for peak season incredibly straightforward.
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And check this out.
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This warehouse features a fully automated packaging machine.
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It will take the picked items and automatically package them into cartons.
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Honestly, I could watch this thing work all day.
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We were able to go from,
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you know, 50 to 100 people to completely automated with the BrightPick solution.
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Now, we had homes for all of the people that were already working here,
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so we didn't have to remove any staff because the business was growing fast enough,
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but we really could almost stop hiring.
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Like, when the police said,
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wait, we don't have to do all this walking anymore,
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and we don't need to go pick this stuff,
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and now we can focus on finishing orders properly,
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doing the transfer from the BrightPick system to our automated packaging solution.
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They were thrilled.
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So now that you've seen how orders are picked and packed,
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you're probably wondering, how is it that we replenish the inventory in storage?
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Well, that all starts here at the decanting station.
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This is where human operators will transfer items from the cases into the individual storage totes.
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The robots then take these totes and they autonomously move them back into storage.
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The robots use a technique called dynamic slotting to strategically place these totes into optimal storage locations.
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For example, items that are meant for human picking are going to be stored closer to the goods-to-person stations,
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while fast-moving items are going to be stored closer to the pack-out stations to minimize travel time.
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This system can store up to 11,000 totes using 10-foot-tall shelving,
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along with the additional pallet storage for the pallet picking.
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Now, these shelves, they can be extended higher to increase storage capacity further,
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or you can split the storage totes into smaller compartments to maximize utilization.
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At the core of the BrightPick philosophy is simplicity.
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Let the robots do the heavy lifting while everything else in this warehouse remains low-tech and straightforward.
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I mean, take the shelving, for instance.
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It's cheap, simple to assemble,
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and it can easily be moved or reconfigured.
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There's no conveyors, and there's no complicated wire guides or QR codes on the floor for navigation.
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These robots, they can navigate all on their own,
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using LiDAR and AI, all while maintaining incredible precision,
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passing within less than an inch of each other and their surroundings at speeds up to five miles an hour.
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And what's more is these robots,
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they'll stop if they see you,
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meaning there's no need for any safety sensing,
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and any certified technician or employee can step in without having to pause the entire operation.
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All of this makes this system incredibly easy to install,
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scale, or even move to a different warehouse if needed.
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The brain behind the entire operation is the BrightPick Intuition software.
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This software orchestrates all robot workflows,
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directing each robot on what task to complete and when.
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It also optimizes the travel paths for each of these robots for maximum speed and efficiency,
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ensuring that these robots take the shortest path possible without blocking or slowing each other down.
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Think of BrightPick intuition as the conductor of an orchestra,
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ensuring that every robot plays its part in perfect harmony.
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Additionally, the software tracks every tote and skew within the system,
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maintaining full visibility and control over inventory.
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It's connected directly to the warehouse's WMS system,
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and it's constantly exchanging order and inventory data,
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ensuring smooth and efficient operations.
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And that is a wrap on our tour.
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Thank you so much for joining me here on this journey into the future of e-commerce fulfillment.
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If you want to learn more about this cutting edge operation,
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be sure to check out our video case study by clicking the link in the end screen.
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Remember to hit like, subscribe and stay curious.
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为什么要通过这个视频练习口语？
在现代电子商务的世界中，了解技术如何改变我们的工作方式至关重要。通过观看这段视频，您不仅能够提升英语口语能力，也能深入理解人工智能及其在仓储运作中的应用。这是学习行业相关术语及表达的绝佳机会，让您在与他人讨论相关话题时更加自信。此外，视频中的机器人与人工工作的对比，为您提供了丰富的语境，可以帮助您在实际交流中应用所学的内容。无论您是想提高英语发音，还是想在电子商务领域的讨论中掌握更多专业术语，这段视频都为您提供了不可或缺的视角。通过“看YouTube学英语”来与视频内容进行“shadow speak”，能有效提升您的口语表达能力。
语法和表达在语境中的应用
- 使用被动语态：视频中提到“这整个操作是由48个BrightPick人工智能机器人管理的”，这种被动结构强调了动作的承受者，有助于您在描述复杂流程时使用类似句式。
- 条件句的使用：例如，“假设这个机器人在挑选时犯了错误，它将利用机器学习从错误中学习并加以改进。”这种句式有助于表达因果关系，是英语口语练习中常见的结构。
- 直接引语：视频中提到员工的经验，例如“我可以告诉您...”，这种表达形式使得语气更加生动自然。通过模仿这种说法，您可以使自己的交流更加引人入胜。
常见发音难点
在视频中，有几个单词特别容易陷入发音难点。例如，“warehouse”和“robotics”这两个词的发音可能对初学者来说比较棘手，尤其是在快速对话中。强调先重音后轻音的发音法会使您在交流中更显流利。同时，不同地区对某些词的重音和语调也有所不同，学习者应该注意所在地区的口音差异以提高英语发音的准确性。注意这些细节，您将更能够自然地与他人交流，在使用“shadow speak”练习时更能体会到语言的韵律感。
视频中的语法
说话人最常用的结构，并附上视频中的原话：
| 结构 | 视频中的用法 |
|---|---|
| 被动语态 be + 过去分词 — 强调发生了什么，而不是谁做的 | is managed · is picked · is meant |
| 现在完成时 have/has + 过去分词 — 过去发生但与现在仍有关联的事 | they've never seen · have designated · has been |
| 定语从句 who / which + 从句 — 补充说明人或事物 | people who work · people that were |
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。