Prática de Shadowing: Inside a warehouse run by AI robots - Aprenda a falar inglês com vídeo

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We're enabling the next generation of Amazon to really grow

and realize their full potential and driving the economy forward because this is the future of logistics.

I'm Andre, Chief Growth Officer at BrightPick,

and we're developing the next generation of warehouse robotics.

Our mission is really to enable any warehouse,

large or small, to fully automate their order fulfillment in a matter of weeks.

So right now we're standing in one of our installations

where we pretty much automated the entire fulfillment process using close to 50 BrightPick Autopicker robots.

I'm going to show you around so you can see how it looks.

So our flagship robot is called BrightPick Autopicker

and it's actually the only mobile robot in the world that not only transports items but can also robotically pick them.

And the big advantage with that is it actually does the pick directly in and out.

And we actually took a lot of inspiration from the way humans do picking because humans,

they go directly from one pick to the next and that is actually the most efficient way to pick orders.

Basically, what we did is you can think of BrightPick Autopicker

as almost like a human with a cart moving from one location in the warehouse to the next

and doing the picks as it goes on.

In fact, we're getting pretty close to human level performance and at a fraction of the cost.

So the way the robotic picking process works is the robots,

they retrieve a storage tote from the shelving,

they scan the storage tote,

create a 3D model of the tote.

Then we have an AI engine which tells the robot what item to pick based on probability of success,

and then the robot picks that item from the storage toad into the order toad.

The thing with robotic picking is that inevitably the robots will not be able to pick some items some of the time.

I think anyone who tells you they can pick all items 100% of the time are lying, frankly.

It's a big challenge in robotic picking in terms of what do you do as a fallback in that scenario.

We're actually not entirely relying on robotic picking here.

We incorporated a couple of goods-to-person stations into this installation,

both as a fallback in case the robots can't pick the items,

but also for items that aren't ideally suited for robotic picking.

So let's say items that are heavier or that have a changing center of gravity,

like liquids, for example.

So this is our goods to person station right here.

It actually works on the same principle as the robotic picking.

So each auto picker brings both the storage tote and the order tote to a human operator.

There's a tablet that tells him exactly how many items and

which items he needs to pick and then the operator picks it from one tote to the other tote.

So it's super simple, pretty ergonomic.

The robots they raise both totes to waist height.

They actually have four different sides.

So what that enables us to do is to feed the human operator from four sides at the same time.

So during peak hours when it's really busy,

there's basically four robots at the station at any given point in time,

which means there's like zero idle time in between fixed.

A really important part of our philosophy is product simplicity and cost.

You can see like we use a pretty simple SCAR arm on the robots.

It's two axes, the end effector is pretty flexible

and we could have of horse stuck like an expensive six-axis arm on the robot,

but that would have basically doubled the cost for an extra 10% of performance.

There's no point in doing that

when basically what we do in those 10% of the edge cases is we take those items to a human operator,

which you would anyways need because even if you have the most expensive robotic picker in the world,

there's still going to be some items when the robot can't pick them.

So you anyways have to solve for that.

And I think that's I think that's a really important part to understand about the whole BrightBix system is

it's designed with simplicity in mind.

So there's a lot of super complicated features,

AI, you know, the software orchestration behind it.

But the actual process of working with the robots and installing it in the warehouse,

it's super simple, right?

You see I'm like walking around with the robots.

Of course, usually we all want people to do that because it slows down the system.

But it's perfectly safe, you know,

you don't need any safety fencing.

There's no QR codes on the floor for navigation.

We use LiDARs and AI.

The shelving, it's like very cheap.

It's basically the same shelving you can buy in Home Depot,

which also means like you can install in a matter of weeks and even move the shelving from one warehouse to another,

which, you know, it's pretty important.

You don't want to build like a monument in your warehouse that you're stuck with for the next 10 years.

That's actually the reason we purposefully don't use any conveyors because,

you know, once you build a conveyor good luck moving that.

That's basically why we developed the system is to enable any retailer to automate their fulfillment in a matter of weeks.

This is really like a decade of development behind this.

I mean first we developed the 3D scanner which is actually from our sister company Photo Neo.

We then developed the AI picking engine.

I think we've done close to a billion picks by now to train our AI.

We then developed a mobile platform,

all the software orchestration that goes with that.

We actually had a goods-to-person solution before this,

but then ultimately we brought it all together inside the Autopicker.

And now this robot can do everything you need for order fulfilling, right?

Like robotic picking, goods-to-person picking,

pallet picking, order buffering, consolidation, dispatch, replenishment.

When we think of BrightPick Autopicker as basically a humanoid in all but name,

If you think about what a human picker does in a warehouse,

it's basically the same, except auto pickers are able to do it much faster, more efficient.

It's literally a tenth of the cost of a humanoid.

We don't believe in technology for technology's sake.

Why do you need a human form factor when you can basically achieve human level performance at a fraction of the cost?

So a common misconception that people have about robotics is that we're taking away people's jobs,

but the reality is actually completely opposite because pretty much every customer that buys our solution,

they're dealing with massive labor shortages,

whether it's in logistics or in manufacturing,

and there's simply not enough people to meet demand because we have a shrinking labor force.

These are physically tough jobs.

Imagine walking two marathons a week just to pick orders,

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and there's not enough people to fill the demand, basically.

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For example, this customer right here,

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they had to actively turn off their marketing spend because they didn't have enough people in their warehouse to pick orders.

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And now after they installed our solution,

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they're able to grow it 100%.

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It was basically like three people servicing our entire system.

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Whereas before they would have needed 20, 30 people here.

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Another feature that's unique to BrightPick is what we call pallet picking.

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And this is actually, imagine you have items that are fast movers.

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So let's say you're putting in samples or you're basically selling products that go into every order or every second order.

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It doesn't really make sense to put those items into the system

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because you're going to be replenishing them almost as fast as you're taking them out.

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So what we developed, what we call these pallet picking positions,

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where basically human operators are able to pick directly from pallets or from cases,

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which you see stored behind them,

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and place them onto the order tote at the robot.

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So that basically makes the replenishment process super easy,

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where all you do is you stick a pallet there or you throw a case there,

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and then the robot pulls up,

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tells the human operator on the tablet what item to pick,

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and the human can pick that item and place it onto the robot.

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So you really get that flexibility of robotic picking,

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GTP picking, and pallet picking,

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all as part of one system.

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You really don't need any other picking.

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So this right here is the buffer area,

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and actually this is a 24-7 operation,

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so the robots are working even at night when there's practically no one in the warehouse.

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and what they're doing is after they pick the orders,

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they buffer them in this area.

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And then once the morning shift comes in,

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they take them out, deliver them to pack out to be packed and shipped.

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Another use case is imagine you have an order that consists of 10 picks,

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but only nine of them are robotically pickable.

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So the robots are gonna pick those nine items overnight,

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buffer them, and then when the morning shift comes in,

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it's gonna do that last 10th pick using the goods to person or pallet station.

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And basically then the order is complete.

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So because we have such a high level of automation,

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we're able to easily operate at night because you practically don't need anyone to run the system.

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We're now in a hyper-growth mode.

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We're really focused on ramping up our manufacturing because we already get more demand than we can meet for our solution.

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So now it's really about laying down the groundwork to make

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sure we can manufacture as many of these robots as possible and really ensure that they're as reliable as possible.

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We understand that these are mission critical processes,

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so we make sure that each robot can really operate five,

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10 years without breaking down.

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This is one of many installations that we've already done.

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We have many more in the pipeline,

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so right now it's rolling up our sleeves and getting to work.

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World’s most advanced robotic warehouse (AI automation)

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Sobre esta Aula

Nesta aula, os alunos terão a oportunidade de aprender inglês com YouTube, focando em um assunto fascinante: a automação de armazéns com robôs. Através do vídeo, os aprendizes irão explorar conceitos sobre robótica, eficiência no trabalho e as novidades em logística. Ao ouvir a apresentação do Chief Growth Officer da BrightPick, os alunos praticarão suas habilidades auditivas, expandirão seu vocabulário e melhoraram sua pronúncia através de técnicas de shadowspeak. Essa prática não só ajuda na compreensão do conteúdo, mas também na imitação da entonação e do ritmo do falante.

Vocabulário e Frases Chave

automação - automatização de processos para aumentar a eficiência.
robôs autônomos - máquinas que operam de forma independente.
armazenamento - o ato de guardar produtos em um espaço designado.
eficiência - a capacidade de alcançar um resultado desejado sem desperdício de recursos.
operador humano - uma pessoa que trabalha em conjunto com a tecnologia.
propriedade probabilidade - conceito utilizado na escolha de itens a serem selecionados pelos robôs.
centro de gravidade - ponto em que o peso de um objeto é equilibrado, importante em robótica.

Dicas de Prática

Para aprimorar suas habilidades, sugerimos que você use a técnica de shadow speech enquanto assiste ao vídeo. Tente repetir as falas do apresentador segundo após ouvi-las. Preste atenção na velocidade e no estilo de fala. Aqui estão algumas dicas específicas para ajudá-lo a ter sucesso:

Comece assistindo a primeira parte do vídeo sem tentar repetir. Concentre-se em entender o conteúdo.
Depois, assista novamente, pausando após cada frase ou pensamento. Tente copiar a entonação e o ritmo do falante.
Utilize a técnica shadowspeaks, onde você fala ao mesmo tempo que ouve. Isso ajudará na sua fluência e aumentará sua confiança.
Pratique regularmente para que sua capacidade de fala em inglês melhore com o tempo.

Esta abordagem não apenas tornará a aprendizagem mais envolvente, mas também facilitará a familiarização com terminologia técnica em inglês. Explore o mundo da robótica enquanto aprimora suas habilidades de fala!

Gramática neste vídeo

As estruturas que o falante mais usa, com as palavras exatas do vídeo:

Estrutura	No vídeo
Voz passiva be + particípio passado — o foco está no que acontece, não em quem faz	is called · aren't ideally suited · be packed
Present perfect have/has + particípio passado — uma ação passada que ainda importa agora	we've done · we've already done
Orações relativas who / which + oração — informação extra sobre uma pessoa ou coisa	anyone who tells · scanner which is

O que é a Técnica de Shadowing?

Shadowing é uma técnica de aprendizado de idiomas com base científica, originalmente desenvolvida para o treinamento de intérpretes profissionais. O método é simples, mas poderoso: você ouve áudio em inglês nativo e repete imediatamente em voz alta — como uma sombra seguindo o falante com 1-2 segundos de atraso. Pesquisas mostram melhora significativa na precisão da pronúncia, entonação, ritmo, sons conectados, compreensão auditiva e fluência na fala.

Técnica de shadowing: leia o guia completo passo a passo →

Prática de Shadowing: Inside a warehouse run by AI robots - Aprenda a falar inglês com vídeo

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Sobre esta Aula

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