跟讀練習: Inside a warehouse run by AI robots - 通過影片學習英語口語
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149 句
如果句子過短或過長，請點選 Edit 進行調整。
1
We're enabling the next generation of Amazon to really grow
我們正在為亞馬遜的下一代發展提供支援，助力其真正實現增長。
2
and realize their full potential and driving the economy forward because this is the future of logistics.
充分發揮其全部潛力，推動經濟向前發展，因為這就是物流的未來。
3
I'm Andre, Chief Growth Officer at BrightPick,
我是安德烈，BrightPick 的首席增長官。
4
and we're developing the next generation of warehouse robotics.
我們正在開發下一代倉庫機器人技術。
5
Our mission is really to enable any warehouse,
我們的使命實際上是讓所有倉庫都能實現
6
large or small, to fully automate their order fulfillment in a matter of weeks.
無論規模大小，都能在短短幾週內實現訂單履行的全自動化。
7
So right now we're standing in one of our installations
現在我們正站在我們的一個設施裡。
8
where we pretty much automated the entire fulfillment process using close to 50 BrightPick Autopicker robots.
我們幾乎使用了近50臺BrightPick Autopicker機器人，實現了整個履約流程的自動化。
9
I'm going to show you around so you can see how it looks.
我帶你四處看看，你就能知道它是什麼樣子了。
10
So our flagship robot is called BrightPick Autopicker
我們的旗艦機器人名為BrightPick Autopicker。
11
and it's actually the only mobile robot in the world that not only transports items but can also robotically pick them.
它實際上是世界上唯一一款不僅能運輸物品，還能通過機械臂自動抓取物品的移動機器人。
12
And the big advantage with that is it actually does the pick directly in and out.
這樣做的一大優勢是它實際上可以直接進行取放操作。
13
And we actually took a lot of inspiration from the way humans do picking because humans,
實際上，我們從人類進行分揀的方式中獲得了很多靈感，因為人類……
14
they go directly from one pick to the next and that is actually the most efficient way to pick orders.
他們直接從一個揀選點前往下一個揀選點，這實際上是揀選訂單最有效的方式。
15
Basically, what we did is you can think of BrightPick Autopicker
基本上，我們所做的，你可以理解為BrightPick Autopicker
16
as almost like a human with a cart moving from one location in the warehouse to the next
幾乎就像一個推著推車在倉庫裡從一個位置移動到另一個位置的人
17
and doing the picks as it goes on.
並隨著比賽的進行不斷做出選擇。
18
In fact, we're getting pretty close to human level performance and at a fraction of the cost.
事實上，我們已經非常接近人類的表現水平，而且成本僅為其一小部分。
19
So the way the robotic picking process works is the robots,
因此，機器人揀選流程的運作方式是，機器人
20
they retrieve a storage tote from the shelving,
他們從貨架上取下一個收納箱，
21
they scan the storage tote,
他們掃描儲物箱。
22
create a 3D model of the tote.
建立這款托特包的3D模型。
23
Then we have an AI engine which tells the robot what item to pick based on probability of success,
然後我們有一個AI引擎，它會根據成功機率告訴機器人應該抓取哪個物品。
24
and then the robot picks that item from the storage toad into the order toad.
然後機器人會將該物品從儲存槽中取出，放入訂單槽中。
25
The thing with robotic picking is that inevitably the robots will not be able to pick some items some of the time.
關於機器人揀選，不可避免的情況是，機器人有時會無法揀選某些物品。
26
I think anyone who tells you they can pick all items 100% of the time are lying, frankly.
坦白說，我覺得那些聲稱自己總能百分百選對所有物品的人都是在撒謊。
27
It's a big challenge in robotic picking in terms of what do you do as a fallback in that scenario.
在機器人揀選領域，當出現這種情況時該採取何種應對措施是一個巨大的挑戰。
28
We're actually not entirely relying on robotic picking here.
實際上，我們在這裡並沒有完全依賴機器人揀選。
29
We incorporated a couple of goods-to-person stations into this installation,
我們在這套裝置中集成了幾個貨到人工作站。
30
both as a fallback in case the robots can't pick the items,
既作為機器人無法抓取物品時的備用方案，
31
but also for items that aren't ideally suited for robotic picking.
也適用於那些並不完全適合機器人揀選的物品。
32
So let's say items that are heavier or that have a changing center of gravity,
所以比如說那些更重或者重心會發生變化的物品，
33
like liquids, for example.
比如液體之類的。
34
So this is our goods to person station right here.
這就是我們的貨到人工作站。
35
It actually works on the same principle as the robotic picking.
它的工作原理實際上與機器人揀選相同。
36
So each auto picker brings both the storage tote and the order tote to a human operator.
因此，每臺自動揀選機都會將儲存週轉箱和訂單週轉箱一同運送到人工操作員處。
37
There's a tablet that tells him exactly how many items and
有一塊平板電腦能準確告訴他物品的數量以及
38
which items he needs to pick and then the operator picks it from one tote to the other tote.
他需要揀選哪些物品，然後操作人員將這些物品從一個料箱揀取放到另一個料箱中。
39
So it's super simple, pretty ergonomic.
所以它非常簡單，人體工學設計也很出色。
40
The robots they raise both totes to waist height.
他們操控的機器人將兩個儲物箱都抬到了腰部高度。
41
They actually have four different sides.
它們實際上有四個不同的側面。
42
So what that enables us to do is to feed the human operator from four sides at the same time.
這樣一來，我們就可以同時從四個方向向操作人員輸送物料。
43
So during peak hours when it's really busy,
所以在高峰時段，也就是特別繁忙的時候，
44
there's basically four robots at the station at any given point in time,
基本上在任何時候，站點裡都有四臺機器人。
45
which means there's like zero idle time in between fixed.
這意味著在兩次固定操作之間幾乎沒有空閒時間。
46
A really important part of our philosophy is product simplicity and cost.
我們理念中非常重要的一部分是產品的簡潔性與成本控制。
47
You can see like we use a pretty simple SCAR arm on the robots.
你可以看到，我們在機器人上使用的是一種相當簡單的 SCAR 機械臂。
48
It's two axes, the end effector is pretty flexible
它有兩個軸，末端執行器的靈活性相當高。
49
and we could have of horse stuck like an expensive six-axis arm on the robot,
我們本可以把馬像昂貴的六軸機械臂一樣固定在機器人上。
50
but that would have basically doubled the cost for an extra 10% of performance.
但那樣一來，為了額外10%的效能，成本基本上會翻一倍。
51
There's no point in doing that
做那件事毫無意義。
52
when basically what we do in those 10% of the edge cases is we take those items to a human operator,
在那 10% 的極端情況下，我們基本上會把這些問題轉交給人工操作員處理。
53
which you would anyways need because even if you have the most expensive robotic picker in the world,
反正你總歸是需要它的，因為就算你擁有世界上最昂貴的機械採摘機，
54
there's still going to be some items when the robot can't pick them.
仍然會有一些物品是機器人無法抓取的。
55
So you anyways have to solve for that.
反正你總得解決這個問題。
56
And I think that's I think that's a really important part to understand about the whole BrightBix system is
我認為，要理解整個 BrightBix 系統，這一點非常重要。
57
it's designed with simplicity in mind.
它的設計理念是追求簡潔。
58
So there's a lot of super complicated features,
所以這裡有很多非常複雜的功能，
59
AI, you know, the software orchestration behind it.
你知道的，就是AI背後的軟體編排技術。
60
But the actual process of working with the robots and installing it in the warehouse,
但實際與這些機器人協作並將其部署到倉庫中的過程，
61
it's super simple, right?
這超級簡單，對吧？
62
You see I'm like walking around with the robots.
你看，我就像是在和機器人一起走來走去。
63
Of course, usually we all want people to do that because it slows down the system.
當然，通常我們都希望人們那樣做，因為這會拖慢系統速度。
64
But it's perfectly safe, you know,
但你知道，這絕對是安全的。
65
you don't need any safety fencing.
你不需要任何安全防護圍欄。
66
There's no QR codes on the floor for navigation.
地面上沒有用於導航的二維碼。
67
We use LiDARs and AI.
我們使用雷射雷達和人工智慧。
68
The shelving, it's like very cheap.
這個置物架感覺特別廉價。
69
It's basically the same shelving you can buy in Home Depot,
這基本上就是你能在Home Depot買到的那種貨架。
70
which also means like you can install in a matter of weeks and even move the shelving from one warehouse to another,
這也意味著你可以在幾週內完成安裝，甚至可以將貨架從一個倉庫移到另一個倉庫。
71
which, you know, it's pretty important.
你也知道，這一點非常重要。
72
You don't want to build like a monument in your warehouse that you're stuck with for the next 10 years.
你總不希望在倉庫裡建一個像紀念碑一樣的東西，接下來十年都擺脫不掉。
73
That's actually the reason we purposefully don't use any conveyors because,
這其實就是我們特意不使用任何傳送帶的原因，因為
74
you know, once you build a conveyor good luck moving that.
你知道，一旦傳送帶安裝好了，再想移動它可就難了。
75
That's basically why we developed the system is to enable any retailer to automate their fulfillment in a matter of weeks.
我們開發這個系統的根本原因，就是為了讓所有零售商都能在短短幾週內實現履約流程自動化。
76
This is really like a decade of development behind this.
這背後真的像是經過了十年的發展積累。
77
I mean first we developed the 3D scanner which is actually from our sister company Photo Neo.
我的意思是，首先我們開發了這款3D掃描器，它實際上來自我們的姊妹公司Photo Neo。
78
We then developed the AI picking engine.
隨後我們開發了AI揀選引擎。
79
I think we've done close to a billion picks by now to train our AI.
我認為到目前為止，我們已經進行了近十億次選擇來訓練我們的人工智慧。
80
We then developed a mobile platform,
隨後我們開發了一個移動平臺，
81
all the software orchestration that goes with that.
與之配套的所有軟體編排工作。
82
We actually had a goods-to-person solution before this,
在此之前，我們其實已經有一套貨到人揀選方案了。
83
but then ultimately we brought it all together inside the Autopicker.
但最終我們把所有功能都整合到了 Autopicker 裡面。
84
And now this robot can do everything you need for order fulfilling, right?
現在這個機器人可以完成訂單履約所需的所有工作，對吧？
85
Like robotic picking, goods-to-person picking,
與機器人揀選一樣，貨到人揀選
86
pallet picking, order buffering, consolidation, dispatch, replenishment.
托盤揀選、訂單暫存、集貨、發貨、補貨。
87
When we think of BrightPick Autopicker as basically a humanoid in all but name,
當我們將BrightPick Autopicker視為一個除了名稱之外本質上就是人形機器人的裝置時，
88
If you think about what a human picker does in a warehouse,
如果你想想倉庫里人工揀貨員的工作內容，
89
it's basically the same, except auto pickers are able to do it much faster, more efficient.
基本上是一樣的，只是自動採摘機的速度要快得多，效率也更高。
90
It's literally a tenth of the cost of a humanoid.
它的成本簡直只有人形機器人的十分之一。
91
We don't believe in technology for technology's sake.
我們不相信為技術而技術的做法。
92
Why do you need a human form factor when you can basically achieve human level performance at a fraction of the cost?
既然只需花費一小部分成本就能基本達到人類級別的效能，為什麼還需要人形形態呢？
93
So a common misconception that people have about robotics is that we're taking away people's jobs,
人們對機器人技術普遍存在一個誤解，認為我們正在奪走人類的工作。
94
but the reality is actually completely opposite because pretty much every customer that buys our solution,
但實際情況卻完全相反，因為幾乎每一個購買我們解決方案的客戶
95
they're dealing with massive labor shortages,
他們正面臨嚴重的勞動力短缺問題。
96
whether it's in logistics or in manufacturing,
無論是在物流領域還是製造業領域，
97
and there's simply not enough people to meet demand because we have a shrinking labor force.
而且由於勞動力人口正在萎縮，根本沒有足夠的人手來滿足需求。
98
These are physically tough jobs.
這些都是對體力要求很高的工作。
99
Imagine walking two marathons a week just to pick orders,
想像一下，為了揀選訂單，每週要走兩場馬拉松的路程。
100
and there's not enough people to fill the demand, basically.
而且基本上沒有足夠的人手來滿足需求。
101
For example, this customer right here,
比如說，這位顧客，
102
they had to actively turn off their marketing spend because they didn't have enough people in their warehouse to pick orders.
他們不得不主動停止營銷支出，因為倉庫裡沒有足夠的人手來處理訂單揀選。
103
And now after they installed our solution,
現在，在他們安裝了我們的解決方案之後，
104
they're able to grow it 100%.
他們能夠讓它完全生長。
105
It was basically like three people servicing our entire system.
基本上就只有三個人在維護我們整個系統。
106
Whereas before they would have needed 20, 30 people here.
而在此之前，他們這裡需要20到30個人。
107
Another feature that's unique to BrightPick is what we call pallet picking.
BrightPick獨有的另一項功能是我們所說的托盤揀選。
108
And this is actually, imagine you have items that are fast movers.
實際上，你可以想像一下，你有一些週轉很快的商品。
109
So let's say you're putting in samples or you're basically selling products that go into every order or every second order.
假設你會隨訂單附贈樣品，或者說基本上每筆訂單、每兩筆訂單就會附贈一些產品。
110
It doesn't really make sense to put those items into the system
把那些項目錄入系統其實沒什麼意義。
111
because you're going to be replenishing them almost as fast as you're taking them out.
因為你補充它們的速度幾乎和你取出它們的速度一樣快。
112
So what we developed, what we call these pallet picking positions,
因此，我們開發了一種被稱為托盤揀選位的裝置。
113
where basically human operators are able to pick directly from pallets or from cases,
在這種場景下，操作人員可以直接從托盤或貨箱中揀取貨物。
114
which you see stored behind them,
你可以看到它們後面存放著的那些東西
115
and place them onto the order tote at the robot.
並將它們放到機器人旁的訂單週轉箱上。
116
So that basically makes the replenishment process super easy,
這樣一來，補貨流程就變得非常簡單了。
117
where all you do is you stick a pallet there or you throw a case there,
你要做的只是把一個托盤放在那裡，或者把一個貨箱扔到那裡。
118
and then the robot pulls up,
然後機器人停了下來，
119
tells the human operator on the tablet what item to pick,
它會在平板電腦上告知操作人員需要揀選的物品。
120
and the human can pick that item and place it onto the robot.
然後人類可以拿起那個物品，把它放到機器人上。
121
So you really get that flexibility of robotic picking,
因此，您真正能享受到機器人揀選的靈活性，
122
GTP picking, and pallet picking,
GTP 揀選和托盤揀選
123
all as part of one system.
全部作為一個系統的組成部分。
124
You really don't need any other picking.
你真的不需要再挑別的了。
125
So this right here is the buffer area,
這裡就是緩衝區。
126
and actually this is a 24-7 operation,
實際上這是一個全天候24小時不間斷執行的業務。
127
so the robots are working even at night when there's practically no one in the warehouse.
所以即使在倉庫裡幾乎沒有人的夜晚，機器人也在工作。
128
and what they're doing is after they pick the orders,
他們所做的就是在揀選完訂單之後，
129
they buffer them in this area.
他們在這個區域對其進行緩衝處理。
130
And then once the morning shift comes in,
然後等到早班人員到崗後，
131
they take them out, deliver them to pack out to be packed and shipped.
他們把貨物取出來，送到包裝區進行包裝後發運。
132
Another use case is imagine you have an order that consists of 10 picks,
另一個用例是，假設你有一個包含10個揀選任務的訂單，
133
but only nine of them are robotically pickable.
但其中只有九個可以通過機器人拾取。
134
So the robots are gonna pick those nine items overnight,
所以機器人會在夜間把那九件商品分揀好，
135
buffer them, and then when the morning shift comes in,
先把它們快取起來，等早班人員到崗後再處理。
136
it's gonna do that last 10th pick using the goods to person or pallet station.
它將採用貨到揀選或托盤工作站完成最後第10次揀選任務。
137
And basically then the order is complete.
這樣一來，訂單就基本完成了。
138
So because we have such a high level of automation,
由於我們的自動化程度非常高，
139
we're able to easily operate at night because you practically don't need anyone to run the system.
我們能夠在夜間輕鬆操作，因為這套系統幾乎不需要人工值守。
140
We're now in a hyper-growth mode.
我們目前正處於高速增長階段。
141
We're really focused on ramping up our manufacturing because we already get more demand than we can meet for our solution.
我們正全力提升製造產能，因為目前我們的解決方案的市場需求已經超出了供應能力。
142
So now it's really about laying down the groundwork to make
所以現在關鍵是要打好基礎，以便
143
sure we can manufacture as many of these robots as possible and really ensure that they're as reliable as possible.
我們當然可以儘可能多地製造這些機器人，並切實確保它們具備最高的可靠性。
144
We understand that these are mission critical processes,
我們深知這些都是關鍵任務流程，
145
so we make sure that each robot can really operate five,
因此我們確保每臺機器人都能真正操作五臺裝置。
146
10 years without breaking down.
10年無故障。
147
This is one of many installations that we've already done.
這是我們已經完成的眾多安裝專案之一。
148
We have many more in the pipeline,
我們還有更多專案正在籌備中。
149
so right now it's rolling up our sleeves and getting to work.
所以現在，我們要捲起袖子開始幹活了。
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背景與上下文
在這段影片中，安德烈（Andre）介紹了全新的倉庫自動化解決方案，講述了未來物流的發展。作為BrightPick的首席增長官，他分享了有關智慧機器人如何加速訂單履行的理念，並強調了將人工智慧融入倉儲管理的必要性。通過對機器人的介紹，我們瞭解到這是一項能夠促進經濟發展的技術創新，尤其是在電商領域。此類技術的推廣將使每個倉庫都能在短時間內實現自動化，極大提高工作效率。
日常交流中的五個常用短語
- 我們正在推動經濟發展 (We are driving the economy forward)
- 讓任何倉庫完全自動化 (Fully automate any warehouse)
- 機器人進行揀選 (Robots pick the items)
- 人類揀選的方式 (The way humans do picking)
- 貨物到人工作站 (Goods-to-person station)
逐步影子跟讀指南
為了提高您在觀看此影片時的英語水平，您可以依照以下步驟進行影子跟讀練習， 提高英語發音 和流利度：
- 觀看影片片段：專心觀看影片的前1-2分鐘，注意講者的發音、語調和節奏。
- 逐句模仿：暫停影片，逐句重複講者的內容，嘗試模仿他們的語音語調，特別是其中的關鍵短語。
- 關鍵詞記憶：結合影片中的日常短語，進行反覆訓練，以便在日常交流中自如使用。
- 反覆練習：反覆進行影子跟讀，直到您能夠在沒有停頓的情況下流暢輸出。
- 自我錄音：錄下您自己的聲音，然後與影片中的原聲進行對比，注意發音和節奏的差異。
通過這樣的影子跟讀練習，您能有效提升口語能力，尤其在進行雅思口語練習時，將更加得心應手。同時，建議結合 看YouTube學英語 的影片，以豐富您的學習方式。
影片中的語法
說話人最常用的結構，並附上影片中的原話：
| 結構 | 影片中的用法 |
|---|---|
| 現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事 | we've done · we've already done |
| 被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的 | is called · be packed |
| 定語從句 who / which + 從句 — 補充說明人或事物 | anyone who tells · scanner which is |
什麼是跟讀法？
跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。