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Autonomous Want for Velocity – Robohub

ApexAI is driving advances in ROS2 to make it viable to be used in autonomous automobiles. The adjustments they’re implementing are bridging the hole between the automotive world and robotics.

Joe Velocity, VP of Product at ApexAI, dives into the present multi-year improvement strategy of bringing a automotive to market, and the way ApexAI will rework this course of into the shorter improvement time we see with trendy know-how. This know-how was showcased on the Indy Autonomous Problem the place million-dollar autonomous automobiles raced one another on a observe.

Apex.OS is an authorized software program framework and SDK for autonomous programs that allow software program builders to put in writing secure and authorized autonomous driving functions appropriate with ROS 2.

Joe Velocity

Joe Velocity is VP of Product & Chief Evangelist at Apex.AI. Previous to becoming a member of Apex.AI, Joe was a member of Open Robotics ROS 2 TSC, Autoware Basis TSC, Eclipse OpenADx SC, and ADLINK Know-how’s Discipline CTO driving robotics and autonomy.

Joe has spent his profession creating and advocating open-source at organizations together with Linux Basis and IBM the place he launched IBM IoT and co-founded the IBM AutoLAB automotive incubator. Joe helped make MQTT, IoT protocol, open-source and satisfied the automakers to undertake it.

Joe is working to do the identical for Apex.AI’s secure ROS 2 distribution and ROS middleware. Joe has developed a dozen superior know-how automobiles however is most pleased with serving to develop an accessible autonomous bus for older adults and other people with disabilities.




Abate De Mey: I’m joined right now by Joe Velocity. The VP of product at apex AI.

Joe Velocity: Nice to be right here

Abate De Mey: Is Joe Velocity your actual title?

Joe Velocity: It’s. I come from an extended line of army pilots. In order that’s sort of the household enterprise. My dad, his brother, and each grandfathers.

Abate De Mey: Superior. Yeah. I imply, it’s, it’s a really becoming title for what you’re doing with apex AI. So might you give us a bit little bit of background on what you guys are doing over there?

Joe Velocity: Our particular abilities taking the open-source and hardening it. So making it deterministic in real-time. Functionally secure certifiable after which security certifying it to the very best ranges. And so our first product is the apex OS which is a ROS2 distro.

And that’s licensed to the very best ranges of automotive security, which is ISO 26262 ASIL D. And so we, in order that’s what we do. We’ve a hardened safety-certified ROS2 distro that’s being utilized by carmakers, truck makers, tractor makers, and some different folks as effectively.

Abate De Mey: So basically at apex AI, you’re constructing an working system that’s the core of what automobiles of the long run, particularly autonomous automobiles are going to be utilizing.

Joe Velocity: Yeah. And I suppose technically you can say it’s a, it’s a Meta OS or a automobile OS, So what we offer is it runs on high of what you consider as a conventional automotive working system. Like, you recognize, an RTOS (a real-time working system), like a Q and X, a Greenhills a PikeOS, or within the case of among the infotainment, like a Linux with PREEMPT-RT real-time kernel patch.

And, so far as the applying builders, we offer the SDK, the framework, the instruments, the middleware for them to shortly develop secure functions that they will then certify for collection manufacturing automobiles

Abate De Mey: And so what are these functions that they’d be constructing?

Joe Velocity: Nicely, it had began as you recognize, the co-founders and our firm have a deep, wealthy background in autonomous driving. So, Jan Becker has been doing autonomous driving because the late nineties. Dejan has been doing Autonomous driving and, autonomous agricultural automobiles for very a few years. they had been among the very first folks to take ROS and use it to do autonomous driving and automobiles.

They usually labored with Brian Gerkey and all the workforce at open robotics to design, architect, and develop ROS2. And so we’ve been an enormous contributor to ROS2… We’re on the ROS2 technical steering committee and, do lots of heavy contributions to the neighborhood, each to ROS2. And to the default ROS, middleware and ROS2 Galactic, which is an eclipse cyclone with the built-in Iceoryx zero-copy.

Abate De Mey: Yeah. So earlier than we dive in deeply into what you guys are doing with ROS… The software program that you just guys are creating, the middleware… Is that this focused in the direction of say the autonomous algorithms for with the ability to navigate and detect folks after which transfer the automotive? Or is that this one thing a bit bit extra common?

Joe Velocity: Nicely, it’s, you recognize, if you consider how ROS is amazingly versatile and ubiquitous, proper? Folks use ROS for every kind of loopy issues, together with a number of issues that you just wouldn’t usually outline as being a robotic. […] Our thought round apexOS. And apex middleware may be very a lot round autonomous driving, proper?

So we knew that when individuals are creating autonomous driving, they want the SDK, the framework, the middleware to hurry up how simply, how shortly they will develop autonomous driving and have it’s secure. The bit that shocked us that was possibly not so anticipated is…

You understand, we’ve got all these automakers and tier-one prospects utilizing us for autonomous, however then they began taking our instruments and transferring them sideways into different automotive domains. So as an alternative of autonomous driving or along with autonomous driving, which is extra of a “future thought” they’re utilizing it to develop issues that go into automobiles now.

Proper. So superior driver help system lane centering, adaptive, cruise management automated emergency braking, the powertrain cockpit features telematics every kind of various issues. And in order that’s the bit that’s a bit bit stunning and great. Is in the identical method that ROS is discovering its method into every kind of sudden corners of the world.

Um, we’re discovering ourselves getting deployed into sudden corners of the automotive business.

Abate De Mey: Yeah. And what’s nice about that’s that you just don’t have to attend till autonomous know-how matures or improves. You may instantly begin testing out and constructing the infrastructure

Joe Velocity: Nicely, precisely. Trigger you recognize, there are, you recognize, choose a quantity, proper? There are, you recognize, some tens of hundreds of autonomous automobiles, however there are tens of thousands and thousands of normal automobiles.

Abate De Mey: Yeah. And so in the event you examine it to what the, what the working system or no matter it’s that that’s within the present present-day automobiles, how does this differ from that? And what’s the motivation that’s giving automakers and the folks we’re creating ADAS and different options to change over

Joe Velocity: Yeah. So there are some things and we should always discuss a bit in regards to the architectural technical variations, however one is simply the event course of. So right now – right here’s, what occurs at automakers, proper? Whether or not they admit it publicly or not, that is the method… someplace between many and most automakers, use ROS and ROS2, to prototype new options.

So that they have an thought, they want a proof of idea. And they also use ROS and ROS2, to develop it once they, once they have a very good prototype they usually prefer it, then what they do is that they throw that over to the fence, to a different group that develops a “pilot implementation”. So that they throw all that code away and do a brand new implementation.

After which once they like that, they throw it over the fence to a 3rd group who develops the functionally secure certifiable model that will go into collection manufacturing. Nicely, what meaning is for each thought for each Characteristic for each new utility you’re doing, you’re creating it thrice and this isn’t weeks or months.

That is years, proper? Because of this it takes from like, you recognize, thought conception to displaying up in a manufacturing automobile at your native vendor is, you recognize, on a, in a best-case, you’re speaking about like, oh, I don’t know, 5 years, six years. Proper. You understand, eight years may be very regular in some circumstances that’s 12 years. And so why try this?

If we might simply aid you in the event you’re prototyping in ROS and ROS2 if we can assist you get a path to convey that like extra straight into manufacturing. Okay. We’re going to shave years and years and, folks and, many thousands and thousands of {dollars} from the price of every of these items.

Abate De Mey: Yeah. So the people who find themselves creating, let’s discuss like “ADAS” – is that just like the Toyotas and the Volkswagens of the world? Or are they subsidiary firms which might be designing this and have some form of robotics background that they determined to make use of ROS?

Joe Velocity: Nicely, Nowadays a lot of the firms have some group of individuals or folks inside them with some robotics background. Proper. So, you recognize, ADAS I imply, these are robotics domains, whether or not they name it that or not. Proper. You understand, they’re doing use circumstances and issues that will look very acquainted to roboticists, particularly any which have labored on like AMRs proper.

Like in the event you’ve labored on a turtle bot, you in all probability sort of perceive what they’re making an attempt to do.

Abate De Mey: Mm.

Joe Velocity: The however this work is occurring on the automakers themselves. So proper in automotive, we discuss there’s automotive OEMs. so that’s your that’s your, your Daimler or your Toyota, your Volvo, your Jaguar land Rover, proper?

It’s these sorts of firms you’ve, what’s known as your tier ones. So these are the massive, most important suppliers who do like full programs for an automaker. In order that’s folks like continental, ZF proper. These sorts of firms. after which there’s lots of others, proper. You understand, there are secondary suppliers, there’s ISV there are individuals who concentrate on creating particular sorts of software program that go into such programs.

Um, and also you’ve bought the Silicon makers, you’ve bought, you recognize, there’s a whole ecosystem, proper. It, it sort of spiders out. So, you recognize, for every automobile that will get made, like, in the end you’re speaking about hundreds of suppliers made one thing that went into that.

Abate De Mey: And so within the imaginative and prescient of apex AI, then are all of those firms, as they’re passing from possibly one firm to a different on this chain, are all of them utilizing the identical product that you just guys are creating as a form of center floor in order that they don’t must rebuild the wheel each time

Joe Velocity: So I feel sure, to some extent, however you recognize, I’ll be particular like we’re a software program firm. So the place we match is, you recognize, the items in a automotive that runs software program. So that you’re speaking about, you recognize, ECU’s that, that are, you recognize Usually, these are, you recognize, someplace, you recognize, sort of for sake of argument, let’s say one thing like a raspberry PI-ish by way of compute energy.

Proper. So, you recognize, whether or not we’re speaking about, you recognize, a PI zero or PI 4 nevertheless it’s sort of in that one. You’ve gotten your MCUs, these are the microcontrollers, proper. So the closest analog on your listeners could be like, you recognize, such as you what’s it.. the ESP32, proper? It’s that sort of class of computing.

Okay. and in a automobile, you recognize, it’s fairly regular that you just’re going to have. You understand, relying on mannequin, producer, you recognize, a reasonably good body of reference could be 120 to 180 of these items. so take into consideration, you recognize, think about in case your robotic has like 180 totally different computer systems in it. And every of them is developed by, you recognize, they’re not, it doesn’t imply 180 totally different firms, however you can simply have them coming from a half dozen or a dozen totally different firms.

They usually’re utilizing totally different instruments, totally different working programs, and their toolchains are totally different. Their check strategies are totally different. and now you’re making an attempt to break down that collectively in an effort to have a smaller variety of larger computer systems. And, you recognize, that is laborious. So with ROS, you recognize, ROS was developed to, you recognize, earlier on all people was constructing their very own robots and no two robots had been the identical.

So that you’ve bought. A variety of emphasis on portability, lots of emphasis on having some good {hardware} and machine abstractions. So, you recognize, if this robotic has a distinct digital camera than that robotic, I can nonetheless get it, determine it out and get it to work. I don’t, I don’t must throw the applying away. And that’s one of many issues that’s a bit loopy in automotive is, you recognize, you begin swapping out some {hardware} items beneath.

You would possibly truly must scrap and utterly rewrite an utility since you don’t have these sorts of abstractions, you recognize, you don’t have the power to love, simply choose up your software program. Like, you recognize, oh, I used to be working on, you recognize, ECU A right now, however I can’t get it due to the COVID provide chain.

So I’m transferring to ECU B from a distinct producer. That’s not really easy. however you recognize, for ROS, these are regular issues. And so the issues we do by constructing upon ROS, utilizing trendy language, trendy instruments, having these sorts of abstraction error, layers, you recognize, that’s how, like in the event you go to our headquarters in Palo Alto, there’s a whole farm of.

Automotive computer systems from all of our prospects with totally different Silicon totally different working programs, utterly various things. You understand, all the pieces from a TI to a Qualcomm, to an Nvidia drive to a Renesas, proper. R-car and. And all of those working various things, however for us, they’re all working the identical code and people issues get train and careworn and examined all day day-after-day.

Um, we’ve got a CI farm on AWS graviton2. So one thing attention-grabbing is in the intervening time, all of my prospects have ARM of their automobiles. So we’ve got a construct farm on AWS graviton too. So we’re capable of check on arm after which deploy to our arm, automotive VCU, farm, a bodily ECU. And that offers the purchasers the reassurance that they will now take that code and develop it for that concentrate on machine.

They usually’re not going to have points, proper. They’re not figuring it out for the primary.

Abate De Mey: Yeah. So are you guys the one ones who’re utilizing ROS in real-time on a automotive? because the, because the infrastructure to manage it?

Joe Velocity: Completely not. So ROS and, extra particularly ROS2, is being utilized by a ton… you recognize, that’s sort of the default platform for anybody doing R&D. Any area, proper. You understand, AMRs, AGVs forklifts, drones, no matter. Proper. What’s totally different is we’re the one ones who’ve a security, real-time, deterministic, functionally secure, and security licensed.

Okay. ROS2 Distro. So a technique to think about it. So, you recognize Everybody makes use of Linux. Proper. And, however when it is advisable deploy it to love enterprise-scale and have it’s laborious and, and supported and safe and all of these items, you recognize, you would possibly do one thing such as you get purple hat. So like purple hat is a hardened industrial, Linux distro in that very same method, what we provide apex iOS is a hardened industrial ROS2 Distro.

Abate De Mey: Yeah. So what’s the journey been like getting there? and all of the contributions you guys have made to ROS within the course of.

Joe Velocity: Nicely, it’s, it’s been laborious work, however you gotta bear in mind I’m Johnny come recently. Proper? So right here’s the factor. I needed to hitch apex years in the past. Okay. And my spouse was like, no, I’ve had sufficient of your startup nonsense. Like, why don’t you simply be there for them? You understand, in the event you love them, you don’t have to hitch the corporate to assist them.

So simply be their buddies and assist them. And that’s what I’ve been doing for a number of years now… However then once we bought up nearer to Thanksgiving, she truly gave me a head nod, and stated, “Yeah. Okay. Okay.” And so I known as them on Friday and we had particulars sorted out by Monday.

And right here I’m. so I do know rather a lot about apex. I’ve been working with them for years, however I’ve solely been an worker since November (2021), proper. That finish of November, the primary day of December. And so, so, however yeah, I can reply your questions. So, you recognize lots of heavy lifting, you recognize, you take a look at what Jan and Dejan did working with Brian Gerkey and the good crew at open robotics round architecting, designing, creating ROS2 all of the contributions there.

Um, getting apex as an organization off the bottom. and we’ve got some actually nice early buyers, you recognize Some Silicon valley VCs and other people like Airbus Toyota analysis individuals who imagine very early in our mission and we’ve been blessed to get superb engineers. And the, you recognize, lots of people are very enthusiastic about this matter.

Lots of people. Deep ability and expertise in robotics and automotive. however like folks come from automotive, you recognize, you may think about in the event you’re a developer, it’s a bit irritating that once you invent a brand new characteristic, you don’t see it on the vendor flooring for a lot of, a few years, they usually need to change that, proper.

They need: “how will we get automotive to maneuver at cloud velocity?” And in order that’s what we’ve been engaged on from an SDK framework instruments and middleware perspective. others have been engaged on it from, all of the infrastructure round that. Proper. So, how do you’re taking cloud-style dev ops and produce that into automotive?

How do you convey cloud-style, virtualization, hypervisors, container, Docker, Kubernetes, all these items and produce that right into a automotive and make it functionally secure and security licensed? In order that’s, you recognize, folks like our buddies, you recognize, ARM, AWS, Continental SUSE, Purple Hat Bosch, proper? They’re all working on this factor known as Sophie, the S-O-A-F-E-E scalable open structure for the embedded edge.

Uh, however the factor that’s handy is it seems like a lady’s title, proper? So that you only a Sophie it’s, it’s straightforward. It’s, it’s laborious to spell, nevertheless it’s straightforward to say. And they also’re engaged on that. So I see that they go collectively like yin and yang, proper. So we’re centered on, you recognize, how do you develop trendy functions which might be transportable and simply virtualized, they usually’re coping with the

“how do I virtualize? How do I deploy? How do I do an over-the-air replace? How do I help mixed-criticality?” So it is a large deal. So it was once each single operate within the automotive had its personal. I feel in the event you’re constructing a robotic like that’s simply insane. Proper. However that is the way it was executed. And so now as they collapsed that along with software-defined automobiles, we’ve got a number of domains working on the identical bodily pc.

Nicely, not all domains are created equal. Like one area is controlling. Automobile radio or my navigation, a distinct area is steering, braking, and accelerator, which of those is sort of extra necessary for retaining folks alive, proper. And never injuring pedestrians both. And so, you recognize, having these varieties of various critic combined these totally different workloads which have totally different ranges, levels of criticality and placing them on the identical pc like that’s actually cool.

Yeah. And taking all of those totally different computer systems that had been developed in numerous methods. For those who, in the event you might have effectively, you recognize, in robots right now, you oftentimes could have many computer systems in a bigger robotic, however they’re all working the identical software program, proper? They’re all working ROS or ROS2. So it’s, if I must get a much bigger pc, a distinct pc, I’m transferring from Intel to arm to one thing else.

ROS handles that and it provides you these abstraction layers the place I can collapse these into a much bigger pc. I can virtualize. I can port it from one {hardware} to totally different {hardware}, proper. That’s kinda simply accepted as regular and straightforward in robotics, however in Automotive, these items are laborious.

And they also, how do you convey this sort of ease that we settle for is simply with no consideration within the robotics neighborhood and the velocity at which we prototype and deploy within the robotics neighborhood, proper? Like, you recognize, when folks like fetch in clearpath, develop a brand new characteristic, like, you recognize, you’re not ready till 2026 to get it in your subsequent robotic.

Proper. It’s coming within the subsequent replace. It’s coming subsequent week. So, that’s what we’re making an attempt to assist them with. And it’s been going neat. You understand, we’ve bought some actually nice buyers, not all of our prospects are public. A few of our prospects are very public. Like, you recognize, Zed F continental are extraordinarily public about how formidable they’re, the issues they’re doing with us. Others usually are not, however in the event you take a look at who our buyers are, it provides you sort of a clue of what’s taking place within the business. Proper? You’ve bought, your Toyota analysis, your Continentals, ZF Jaguar land Rover Volvo AGCO, AGCO that’s agricultural automobiles. That’s tractors. That’s like how folks get fed.

Like that’s fairly necessary. truck maker that may’t be named the. hella, which is one other large provider, and God I’d be embarrassed if I don’t consider another person. After which we’ve got a neighborhood of you recognize, know-how, buyers, VCs who admire what, what we do and, and assist get us off the bottom very early.

So God bless to


Abate De Mey: Yeah. And so one of many attention-grabbing issues is that now, as you not solely work throughout a number of firms in the identical business, you’re working throughout totally different industries and agriculture and vehicles. So does this imply that all of them then get to share from the identical learnings after which no matter software program that you just’re creating for this platform now, is now going to be shared by anyone who might bounce on the platform as a future buyer?

Joe Velocity: So yeah, I’ll say completely. Sure. With one large caveat. So we respect our prospects’ mental property. So. And so working with them, you recognize, we be taught, we enhance the product, the bettering, the product, making extra succesful, versatile, extra efficiency, decrease latency, decrease jitter, the convenience of getting these sorts of efficiency positive factors, just like the issues which might be within the new apexOS, executer.

Is only a stunning enchancment in comparison with what’s within the open-source. Proper. It’s actually sort of unbelievable. the latency, the jitter, and the very low CPU price that it gives.

Abate De Mey: Are you able to say that once more? What was that?

Joe Velocity: effectively in ROS2, you’ve a factor known as the executer, proper? So executer decides, you recognize, what issues get executed when and in what order. And so we’ve developed one that’s real-time deterministic and functionally secure. And it does some slightly intelligent issues like. If, if I’ve a graph, proper? So listed below are the notes, listed below are the issues that occur.

Um, we are able to take these and collapse them, collapse these down into, right into a thread. So that they get executed in sequence inside the identical thread. So that you by no means even get context switching of switching out of the thread. And we get radical enchancment within the jitter and latency and CPU price for that. And I’ll ship you, I’ll ship you a paper.

It’s truly in a weblog that we revealed about our new product launch. And in order that’s some publicly obtainable info. It’s sort of. After which, yeah. After which the issues that we’ve been doing across the iceoryx zero-copy and the cyclone DDS, these are eclipse basis initiatives that we contribute to.

And issues like, you recognize, with DDS UDP, a four-megabyte digital camera on one thing that’s like two-thirds as highly effective as a raspberry PI three, proper? One in every of these automotive computer systems, you recognize, it’s 25 milliseconds. You’re like, no. Okay. Sounds about proper. Nicely, we are able to do those self same four-megabyte digital camera pictures, pub-sub between interprocess, intraprocess in 60 microseconds.

And we are able to do it at 60 microseconds, regardless of if it’s a one-kilobyte message or a four-megabyte message. So this fastened latency very, very low jitter, fastened CPU prices no matter message dimension that’s sort of large. And for the automakers, you recognize, once you’re doing purposeful security, you’ve this finances, you’ve a time finances of, you recognize, I’ve to finish this process inside this very small time finances or else I put somebody’s life in danger.

And if we are able to make it quicker and extra environment friendly and decrease jitter, that offers again time finances and CPU cycles for extra attention-grabbing issues, like your algorithms, proper?

Abate De Mey: Yeah. And also you guys additionally not too long ago bought some publicity for doing, taking part within the autonomous race problem. Might you dive into {that a} bit?

Joe Velocity: Certain. It’s a, you recognize, as you can see the… haha… It’s a subject we love very a lot. So apex is on each single Indy autonomous problem, race automotive. So all the colleges however apex contributed code and even Indy autonomous problem particular contributions that we’ve got made to ROS2, and the ROS middleware that ROS2 galactic default ROS Metaware, which is eclipse cyclone DDS with the built-in.

Iceoryx zero-copy is utilized by each workforce. So when the Indy autonomous problem began, all of the groups had been utilizing industrial software program, proper, industrial DDS. however by the point they bought to Indy, all of them had switched to ROS2 Cunning with the eclipse cyclone DDS with, ISE-specific contributions from us and buddies.

So folks like, you recognize Robotec AI, ADlink Bosch tier 4, open robotics, and buddies however the workforce that received was TUM. And so there’s a few issues occurring there. So one is. TUM upgraded to ROS2 galactic. So that they bought the very newest of all of the enhancements we had made for the Indy Autonomous Problem. Additionally our co-founder day on went to TUM. So we’ve got a sort of a comfortable spot in our coronary heart for TUM. And so we supported and helped all of the groups, however gave some additional private consideration and help to TUM and TUM received the million {dollars}. Proper. I’m not saying that they did, they’re tremendous gifted.

Proper. They usually wrote nice algorithms. They’re amazingly effectively organized. So I’m not saying they received due to us. I’m simply saying we helped them they usually need WON.

Abate De Mey: Yeah. And also you, you recognize, you talked about a few the adjustments. Oh, go forward.

Joe Velocity: that’s the TUM automotive.

Abate De Mey: What had been among the adjustments that you just guys needed to make the Indy autonomous problem I’m certain, you recognize, that is undoubtedly an edge case in comparison with the general product.

Joe Velocity: so sure and no. So by way of the enhancements, I’ll simply let you know. rosbag2 in ROS2 Cunning is damaged. Okay. It’s. So this automobile, what are you speaking about? You’ve bought six cameras at as much as 155 frames per second, three flash LIDARs at… Relying on the way you set them up, you recognize, both 20 Hertz or 30 Hertz.

Um, so 120 levels flash LIDARs, on these three radars. it’s not 4 radars as a result of it seems {that a} rear-facing radar of 1 automotive will intrude with a forward-facing radar, of a distinct automotive. Trigger they’re all working on the identical frequency. Oops. So three radar.

Abate De Mey: So what two within the entrance and …?

Joe Velocity: Yeah,

so oh, so Slim subject of view, long-range radar forward-facing, after which two short-range, wide-angle radars left proper port starboard, proper?

Two GNSS with IMUs and HDNSS has two antennas they usually did one thing intelligent right here, which is. one GNSS has the antenna entrance and rear and the opposite GNSS has its antennas left and proper. And from that, we are able to get sufficient granularity to not simply know the place the automotive is, however when the automotive drifts by the corners, we all know what number of levels of drift and the steering can compensate.

Abate De Mey: Yeah. Even with the quantity of error that’s inherent to GNSS.

Joe Velocity: Nicely, and it’s GNSS with RTK to be clear that helps the after which there’s, there’s a drive-by-wire system from our buddies at new Eagle, security MCU. Entrance-ending the Schaeffler pair of van drive by wire, you recognize, so there’s lots of superb know-how in these automobiles. Proper. So, you recognize, you’ve bought your, your Luminari, your Aaptiv radar, your, allied imaginative and prescient, Maaco cameras, ADlink pc.

Um, what else? autonomous stuff. hexagon, hexagon, NovAtel the GNSS. there’s, rather a lot is occurring. Like these are million-dollar robots, proper. And two weeks earlier than CES Paulie strikes the Italian workforce, they took theirs out to apple. Hey. Apple owns a confirmed driving confirmed floor.

Okay. For autonomous driving. And it has a five-mile-long high-speed oval observe. So poly transfer, the Italians, took it out to the proving floor and spun it as much as 176 miles per hour, like 273 kilometers per hour, which I feel is like, the world’s quickest. I wrote the robo race. Folks will complain. Trigger they’ll say like, effectively, you probably did it totally different.

We did ours on the runway and you probably did yours on an oval observe. However so I, no matter they’re, they’re not Paulie transfer just isn’t executed. Setting new velocity information. They’re going to go do some extra However then like two weeks later, they went out to the Las Vegas Motor Speedway, which isn’t that large of an oval.

Proper. I feel it’s like a one and a half-mile oval they usually did 100, they hit 173 miles an hour whereas passing TUM to win the race.

Abate De Mey: Oh, wow. Wow. Have there been any accidents?

Joe Velocity: Oh, lots. However that’s the factor that’s so genius in regards to the Indy Autonomous Problem. There’s zero danger. Okay. And once I say danger, I discuss one thing necessary. Like folks getting injured. Property injury? Oh yeah. We’ve wrecked loads of these, nevertheless it’s okay. We restore them. We simply construct extra of them. Like, that’s the factor that’s so superior about racing.

Like once I defined to my buddies in Japan in regards to the Indy autonomous problem, you recognize, they are saying, effectively, Joe, you say that has no danger, however we don’t perceive these phrases that you just’re saying. Proper. As a result of in case you have a fender bender, proper, like. When you’ve got some little minor factor in your autonomous automobile program, it’s an important disgrace.

It’s an important lack of face, however in motorsports, like, let me let you know a state of affairs. It’s Sunday, you set a bunch of race automobiles out on the observe they usually exit they usually race, and a few of them crash. Is that uncommon or is that only a regular Sunday? Like in Motorsports that’s regular. You anticipate it. It’s a part of the thrill.

Okay. The, and that’s true right here. The distinction right here is when these automobiles crash, I cry a bit as a result of I’ve been working with these children for 2 years now and like, I really feel their ache. So once they snort, I snort. Once they cry, I cry once they’re completely satisfied and leaping up and down, I’m completely satisfied and leaping up.

Abate De Mey: Yeah, to not point out it’s a million-dollar automotive. So.

Joe Velocity: Nicely, there

is that. So I’m not saying I’m, I’m completely satisfied once they crash, however you recognize, it’s, you recognize, it’s, it’s like Steve Rogers, you recognize, we’ve got the know-how, we are able to, we are able to construct a greater, stronger, quicker than earlier than

Abate De Mey: Yeah. And it truly, proves to be a very good place to check issues and to be a bit bit aggressive with out worry of failure.

Joe Velocity: Steve Austin. Sorry. Get my Steve’s combined up.

Abate De Mey: Yeah, no, it provides them a spot that they will check with out worry of failure, which is

Joe Velocity: Yeah

Abate De Mey: necessary

Joe Velocity: Yeah, completely.

They usually do, they do a ton in simulation and that basically helps. And I feel we’re going to place lots of effort into that. attempt to get the simulation higher and higher do digital simulation. So even new universities can be a part of this system and get entangled. And so the simulation is a key factor.

You understand you don’t need a scenario the place. You crashed the automotive the primary time you set it on the observe. one thing else is enjoyable although, is simply getting the automobile round and accumulating knowledge. You may distant management it utilizing. So what does each child know easy methods to use? What piece of drugs? An X-Field recreation controller.

Okay. So it’s sort of a deal with to see the automotive doing laps, being adopted by an SUV. And within the passenger seat is a child with a laptop computer and an Xbox controller driving this million-dollar robotic because it does laps across the observe, accumulating level clouds, accumulating imagery, and constructing knowledge units that they will then use to coach their algorithm.

Abate De Mey: Yeah. Yeah. And so, yeah, you talked about simulations. Do you guys additionally provide a simulation package deal or do you guys use a simulation package deal to check out

Joe Velocity: So for. For my firm for apex, it really works with the conventional ones, mainly, any simulation that works with ROS and ROS2 additionally works with what we do. our prospects additionally combine them with their, you recognize, very costly automotive-grade simulation packages that they use of their improvement.

for the Indy autonomous problem, you recognize, they’d began with the ANSYS simulator for the primary half of final yr. mid-year lot of the groups pivoted to SVL SIM, SVL simulator from LG Silicon valley labs. and with all of the plugins developed by Gaia and contributed by some engineers from the blue origin we bought that tour.

Good digital twin, like simply actually dialed in after which LG determined we’re not within the simulation enterprise anymore. And so all of the code continues to be there in public. Everybody can nonetheless use it however LG is now not contributing to it. So

Abate De Mey: Yeah, undoubtedly. So what’s subsequent that apex AI.

Joe Velocity: extra issues, extra automobiles, extra automobiles, vehicles, and tractors. And, and also you’ll begin to see us displaying up in different industries which have related necessities. Proper. So, you recognize, the. You understand, w AMR’,s AGVs issues that drive open air issues that go off-road, issues that go indoors all of that.

And hopefully, area. So you recognize, NASA and blue origin issued an RFI for area ROS, which we replied to. And in area ROS, they had been saying. “You understand, what we actually need is simply if any person would fork ROS2 make it deterministic real-time, functionally secure and security certifiable to the very best stage.”

And you recognize, we’re sort of like we, Hey, over right here we did. And so we’re speaking with our good friend’s picnic so picnic or simply superior Dave Coleman and crew over there, they usually do moveit, moveit2eventually transfer it three. They do issues for NASA. They’ve issues on the worldwide area station they usually have prospects have necessities proper now right now for real-time deterministic.

And so, you recognize, I’m hoping to place all of the items collectively.

Abate De Mey: Superior. you. Thanks very a lot.

Joe Velocity: Completely happy to, Hey, actual pleasure.


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Abate De Mey
Robotics and Go-To-Market Skilled



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