Amazon Debuts Vulcan Robot with Human Touch | What It Means for Warehousing
Amazon has introduced Vulcan, its first robot with a sense of touch, now operating in Spokane and Hamburg fulfillment centers.
⏱️ Time Stamps:
0:00 – Amazon announces Vulcan robot
0:15 – Vulcan’s capabilities: Force sensors, suction cups & vision
0:53 – Hair straightener meets ruler? Describing the tech
1:30 – Why warehouse automation is gaining momentum
2:40 – Human dexterity vs robots
3:25 – Will Vulcan ever hit stores? Not so fast
4:00 – Naming robots: Why always sci-fi?
5:00 – What’s realistic: 10–20 year outlook for stores
5:45 – Final thoughts on Vulcan's warehouse potential
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00:00 - Untitled
00:00 - Introducing the Vulcan: Amazon's Innovative Warehouse Robot
01:13 - The Evolution of Robot Design
02:41 - The Impact of Automation on Retail Operations
04:21 - Naming Conventions in Technology
05:10 - The Future of Automation in Retail
06:18 - Betting Strategies in Warehousing
Amazon unveiled its first warehouse robot with the sense of touch, AKA Vulcan, according to Geekwire, because who else could or should bring you a story like this?
Speaker AThe robot uses force sensors, force sensors and AI to handle and organize inventory with human like precision, or Jedi like precision, if you like the use of the word force sensor.
Speaker AVulcan is already running in Amazon fulfillment centers in Spokane, Washington and Henry Hamburg, Germany, with future deployments planned across Europe and the US the robot mimics human touch to handle to handle items in warehouse bins using a specialized tool with force feedback sensors to sense contact and pressure.
Speaker AAmazon describes the mechanism on the end of the arm as, quote, a ruler stuck onto a hair straightener.
Speaker AEnd quote.
Speaker AAnd it's worth checking out in the video folks from the Source article in Geekwire.
Speaker AOne part pushes items around to make space while paddle like arms gently grip and insert new items using tiny conveyor belts.
Speaker AAnother of the robot's arms also uses a camera and a suction cup to identify target and extract items without grabbing anything extra.
Speaker AAnd this.
Speaker AYou get the lucky roll of the dice today, my friend, because this is the A to M put you on the spot question.
Speaker ATake me to your leader is what's coming through my mind.
Speaker AAnd there's been a lot of noise about Vulcan on social media.
Speaker AJust you think all the hula blue is warranted, number one.
Speaker AAnd number two, where does the application of this technology begin and end in your mind?
Speaker BOh my gosh, there are so many nerd references in this that I don't even know where.
Speaker AYeah, I went all in on nerd today.
Speaker BWell, first of all, I have to say I love the description that it's a hair straightener holding a ruler.
Speaker BNot what I thought of.
Speaker BAnd I'm also surprised that the nerds know what a hair straightener is.
Speaker BThat seems very off brand.
Speaker BDo you know what a hair straightener.
Speaker ALet me ask you this.
Speaker AWho came up with that description?
Speaker ADescription?
Speaker AWas it a dude or a woman?
Speaker ALike, it was probably a dude.
Speaker AIt was 100 a dude, right?
Speaker ALike a hair straightener with a ruler?
Speaker AI think so, yeah.
Speaker BOh, I would think the opposite.
Speaker BDo you know what a hair straightener looks like?
Speaker BLike, do you think the average man knows what a hair straightener looks like?
Speaker AYeah.
Speaker AYeah.
Speaker AIs it actually a hair straightener?
Speaker AYeah, I guess it is a hair straightener too, versus a curler, right?
Speaker AYes.
Speaker BThis is what I'm talking about.
Speaker BThis is.
Speaker AI don't know.
Speaker BThat's why I'm like, maybe, maybe it's somebody else.
Speaker BAnyway, that's beside the point.
Speaker BBut I just love that description because I thought that's not.
Speaker BDoes not sound like it's coming from Amazon.
Speaker BIt's very, like something for the common person to understand.
Speaker AVery pr.
Speaker AVery PR teased.
Speaker ASo.
Speaker BYes, yes.
Speaker BBut what I do think is interesting and why I do think that the hullabaloo is warranted is, is really kind of coming into the fore a little bit more even since we got here to World Retail Congress.
Speaker BAnd I think that that's because we're hearing a lot of talk about investing in automation because it's one of the things that can help operations run more efficiently.
Speaker BAnd that's something that retailers have control over in a very uncertain time when it comes to supply chain economic activity and disruption and all of these things.
Speaker BSo I do like that Amazon is pushing further to figure out how we can optimize all of our, our, our warehouse operations so that we can utilize our human workforce in a way that makes the most sense and that will be most advantageous to our business going forward.
Speaker BSo that's, I do think that this is really cool in that regard and if they can continue to, you know, make sure.
Speaker BI mean, it's, it's really fascinating.
Speaker BI encourage people to watch the video because it's showing like, you know, they, it knows how hard to squeeze a product.
Speaker BLike, you're reducing damages.
Speaker BYou have control over that.
Speaker BAnd those are things that you really have to train people on to do to make sure how to do this the correct way.
Speaker BSo if you can, if you can standardize this, I think that with, with automation, I think that's the way to go here.
Speaker BBut, but are you all in on Vulcan?
Speaker BI can't even make the sign, Chris.
Speaker AYeah, not everyone can do that.
Speaker AYes.
Speaker ANot everyone can do the V.
Speaker AYeah, I mean, the other point too, I just make is like, you know, it's, it's, it's something that humans just traditionally do better than a robot, you know, regardless of training.
Speaker ALike, it's just we have the dexterity and the, the ability to do this in a way robots can.
Speaker ASo it's been something that people have been trying to crack the code on for a while.
Speaker ABut, you know, I, I do want to go on a little bit of a rant here on, like, why are these names so dorky?
Speaker ALike, why can't we ever name things that, why do they always have to name things after sci fi Things?
Speaker ALike, why can't we name things after characters from like, Charlotte's Web or Anne of Green Gables?
Speaker AAnd like, why does it have to Always be like Vulcan or, you know, Jedi or so, you know, I just.
Speaker AAnyway, but.
Speaker BBut net, are you surprised?
Speaker BI mean, I'm not surprised.
Speaker BHow many Big bang theories have you watched?
Speaker BYou know this.
Speaker AI just get so tired of it too.
Speaker ASame with all the tech company names like Penetrabe and In a Trobe and all that kind of stuff.
Speaker AYou know, it's the same.
Speaker AIt's the same realm, but.
Speaker ABut net.
Speaker ANet, I think it's big news because like, you know, like we just talked about it.
Speaker AExpand.
Speaker AIt expands the range of items that can be picked mechanically.
Speaker AYes, but it does it in a warehouse.
Speaker AThat's the point I would make on the second part of a question, which is where does this begin and end?
Speaker ABecause for the record, after last week's headlines, we got a lot of commentary on social media from what I would call some trolls, so to speak, about in store robots taking workers jobs for restocking.
Speaker AAnd that is not going to happen anytime soon.
Speaker ALike for that to happen, a lot of things need to come together and this whole concept is just, just taking shape in what is two warehouses that Amazon runs throughout the world.
Speaker BYeah.
Speaker ASo I mean, for that, for us to get to that eventuality of this hitting in store reshocking and shelves, shelving processes.
Speaker AYou know, I'm thinking we're at least 20 years out on that at best.
Speaker AMaybe somebody knows better than I do.
Speaker AYeah, I think we're, I think before we see that at scale across the industry, at least, I think.
Speaker BOh, it's scale across the industry.
Speaker AYeah.
Speaker AI mean, like it's going to be a long time.
Speaker AAt least 10.
Speaker AYou know, you got to go 10 to 20 years on that.
Speaker AI mean, so, you know, so, you know, but it works.
Speaker AYou have to hit scale in the warehouse first because that's where the operation is more repetitive and repeatable.
Speaker AIt's done the same way every time.
Speaker AStocking a shelf is anything but.
Speaker AThat's why I'm taking the long, the long view of this, you know, in terms of the full impact of the industry.
Speaker ABut I think in warehousing it's, it's probably due to come here, you know, fairly soon.
Speaker AYou know, should Amazon and others like we've seen try to do this in the past, get, get traction with it?
Speaker BWell, I'll take the under, Chris.
Speaker AI'll take, take the under.
Speaker BYeah.
Speaker BAnd we'll see.
Speaker AOh, you're betting today, huh?
Speaker AYou're betting on today, you're betting on Vulcan, but you're, you're bet on.
Speaker BThere's No, I just.
Speaker BI.
Speaker BI follow my intuition.
Speaker BAnd today I'm taking the under.
Speaker BChris, so I.
Speaker BYou can't just bet when you get are put on the spot.
Speaker BYou have to.
Speaker BYou have to let the bet find you.
Speaker BAnd this one, I'm taking the under.