Pratica di Shadowing: Inside a warehouse run by AI robots - Impara a parlare inglese con YouTube
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We're enabling the next generation of Amazon to really grow
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We're enabling the next generation of Amazon to really grow
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and realize their full potential and driving the economy forward because this is the future of logistics.
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I'm Andre, Chief Growth Officer at BrightPick,
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and we're developing the next generation of warehouse robotics.
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Our mission is really to enable any warehouse,
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large or small, to fully automate their order fulfillment in a matter of weeks.
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So right now we're standing in one of our installations
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where we pretty much automated the entire fulfillment process using close to 50 BrightPick Autopicker robots.
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I'm going to show you around so you can see how it looks.
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So our flagship robot is called BrightPick Autopicker
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and it's actually the only mobile robot in the world that not only transports items but can also robotically pick them.
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And the big advantage with that is it actually does the pick directly in and out.
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And we actually took a lot of inspiration from the way humans do picking because humans,
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they go directly from one pick to the next and that is actually the most efficient way to pick orders.
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Basically, what we did is you can think of BrightPick Autopicker
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as almost like a human with a cart moving from one location in the warehouse to the next
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and doing the picks as it goes on.
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In fact, we're getting pretty close to human level performance and at a fraction of the cost.
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So the way the robotic picking process works is the robots,
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they retrieve a storage tote from the shelving,
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they scan the storage tote,
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create a 3D model of the tote.
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Then we have an AI engine which tells the robot what item to pick based on probability of success,
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and then the robot picks that item from the storage toad into the order toad.
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The thing with robotic picking is that inevitably the robots will not be able to pick some items some of the time.
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I think anyone who tells you they can pick all items 100% of the time are lying, frankly.
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It's a big challenge in robotic picking in terms of what do you do as a fallback in that scenario.
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We're actually not entirely relying on robotic picking here.
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We incorporated a couple of goods-to-person stations into this installation,
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both as a fallback in case the robots can't pick the items,
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but also for items that aren't ideally suited for robotic picking.
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So let's say items that are heavier or that have a changing center of gravity,
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like liquids, for example.
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So this is our goods to person station right here.
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It actually works on the same principle as the robotic picking.
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So each auto picker brings both the storage tote and the order tote to a human operator.
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There's a tablet that tells him exactly how many items and
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which items he needs to pick and then the operator picks it from one tote to the other tote.
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So it's super simple, pretty ergonomic.
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The robots they raise both totes to waist height.
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They actually have four different sides.
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So what that enables us to do is to feed the human operator from four sides at the same time.
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So during peak hours when it's really busy,
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there's basically four robots at the station at any given point in time,
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which means there's like zero idle time in between fixed.
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A really important part of our philosophy is product simplicity and cost.
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You can see like we use a pretty simple SCAR arm on the robots.
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It's two axes, the end effector is pretty flexible
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and we could have of horse stuck like an expensive six-axis arm on the robot,
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but that would have basically doubled the cost for an extra 10% of performance.
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There's no point in doing that
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when basically what we do in those 10% of the edge cases is we take those items to a human operator,
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which you would anyways need because even if you have the most expensive robotic picker in the world,
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there's still going to be some items when the robot can't pick them.
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So you anyways have to solve for that.
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And I think that's I think that's a really important part to understand about the whole BrightBix system is
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it's designed with simplicity in mind.
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So there's a lot of super complicated features,
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AI, you know, the software orchestration behind it.
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But the actual process of working with the robots and installing it in the warehouse,
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it's super simple, right?
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You see I'm like walking around with the robots.
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Of course, usually we all want people to do that because it slows down the system.
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But it's perfectly safe, you know,
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you don't need any safety fencing.
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There's no QR codes on the floor for navigation.
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We use LiDARs and AI.
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The shelving, it's like very cheap.
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It's basically the same shelving you can buy in Home Depot,
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which also means like you can install in a matter of weeks and even move the shelving from one warehouse to another,
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which, you know, it's pretty important.
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You don't want to build like a monument in your warehouse that you're stuck with for the next 10 years.
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That's actually the reason we purposefully don't use any conveyors because,
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you know, once you build a conveyor good luck moving that.
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That's basically why we developed the system is to enable any retailer to automate their fulfillment in a matter of weeks.
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This is really like a decade of development behind this.
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I mean first we developed the 3D scanner which is actually from our sister company Photo Neo.
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We then developed the AI picking engine.
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I think we've done close to a billion picks by now to train our AI.
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We then developed a mobile platform,
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all the software orchestration that goes with that.
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We actually had a goods-to-person solution before this,
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but then ultimately we brought it all together inside the Autopicker.
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And now this robot can do everything you need for order fulfilling, right?
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Like robotic picking, goods-to-person picking,
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pallet picking, order buffering, consolidation, dispatch, replenishment.
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When we think of BrightPick Autopicker as basically a humanoid in all but name,
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If you think about what a human picker does in a warehouse,
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it's basically the same, except auto pickers are able to do it much faster, more efficient.
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It's literally a tenth of the cost of a humanoid.
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We don't believe in technology for technology's sake.
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Why do you need a human form factor when you can basically achieve human level performance at a fraction of the cost?
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So a common misconception that people have about robotics is that we're taking away people's jobs,
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but the reality is actually completely opposite because pretty much every customer that buys our solution,
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they're dealing with massive labor shortages,
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whether it's in logistics or in manufacturing,
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and there's simply not enough people to meet demand because we have a shrinking labor force.
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These are physically tough jobs.
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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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Perché praticare la conversazione con questo video?
Questo video offre un'opportunità unica per praticare la conversazione in inglese, con focus su un contesto innovativo: la logistica automatizzata. Parlando di robotica e automazione, il video stimola non solo l'apprendimento del vocabolario tecnico, ma anche la comprensione della cultura aziendale moderna. Utilizzare il shadow speak con questo video permette di imitare le intonazioni e le espressioni del relatore, contribuendo a migliorare la pronuncia inglese in un contesto pratico e reale. La pratica di questo genere non solo aumenta la tua fluidità, ma rende anche il tuo modo di esprimerti più naturale e convincente.
Grammatica ed espressioni nel contesto
Nel video, vengono utilizzate diverse strutture grammaticali e frasi chiave che risultano utili per gli studenti di inglese:
- We're enabling the next generation of... - Questa struttura verbale in forma progressiva aiuta a descrivere azioni in corso e a esprimere intenzioni future.
- We actually took a lot of inspiration from... - L'uso di "actually" serve a enfatizzare l'argomento, un ottimo esempio di come le espressioni colloquiali possano dare enfasi durante una conversazione.
- We could have of course stuck an expensive six-axis arm... - Questa frase mostra l'uso del condizionale, utile per discutere ipotesi e alternative durante la pratica di conversazione in inglese.
Trappole comuni della pronuncia
Ogni video presenta delle sfide in termini di pronuncia. Ecco alcuni punti da considerare:
- Autopicker: La parola può risultare difficile a causa della sua complessità. Assicurati di produrre ogni sillaba chiaramente per evitare confusione.
- Robotic picking: Prestare attenzione all'accento sull'ultima sillaba; spesso gli studenti tendono a omettere quella parte, rendendo la parola meno comprensibile.
- Ergonomic: Si pronuncia con un accento sulla penultima sillaba. Prova a fare shadowing in inglese e segui attentamente le pause e l'intonazione del relatore per affinarne la pronuncia.
Utilizzando queste osservazioni, puoi migliorare significativamente la tua pronuncia e comunicazione in situazioni tecniche legate alla robotica e all'automazione. Combina queste tecniche mentre pratichi e vedrai notevoli miglioramenti nella tua pratica di conversazione in inglese.
Cos'è la tecnica dello Shadowing?
Shadowing è una tecnica di apprendimento delle lingue supportata da studi scientifici, originariamente sviluppata per la formazione dei traduttori professionisti e resa popolare dal poliglotta Dr. Alexander Arguelles. Il metodo è semplice ma potente: ascolti un audio in inglese di madrelingua e lo ripeti immediatamente ad alta voce — come un'ombra che segue il parlante con un ritardo di solo 1–2 secondi. A differenza dell'ascolto passivo o degli esercizi di grammatica, lo shadowing costringe il tuo cervello e i muscoli della bocca a elaborare e riprodurre simultaneamente i modelli di discorso reale. La ricerca dimostra che migliora significativamente la precisione della pronuncia, l'intonazione, il ritmo, il discorso connesso, la comprensione dell'ascolto e la fluidità del parlato — rendendolo uno dei metodi più efficaci per la preparazione alla prova di speaking dell'IELTS e per la comunicazione reale in inglese.
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