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 means of bringing a automotive to market, and the way ApexAI will remodel this course of into the shorter improvement time we see with trendy expertise. This expertise was showcased on the Indy Autonomous Problem the place million-dollar autonomous vehicles raced one another on a monitor.

Apex.OS is a licensed software program framework and SDK for autonomous methods that allow software program builders to jot down secure and authorized autonomous driving purposes suitable 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 growing 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 expertise automobiles however is most happy with serving to develop an accessible autonomous bus for older adults and other people with disabilities.

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Abate De Mey: I’m joined at present 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 a protracted 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 may you give us a little bit little bit of background on what you guys are doing over there?

Joe Velocity: Our particular expertise 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. Now we have 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 primarily at apex AI, you’re constructing an working system that’s the core of what vehicles of the long run, particularly autonomous vehicles are going to be utilizing.

Joe Velocity: Yeah. And I suppose technically you would say it’s a, it’s a Meta OS or a car OS, So what we offer is it runs on prime of what you consider as a standard automotive working system. Like, you already know, an RTOS (a real-time working system), like a Q and X, a Greenhills a PikeOS, or within the case of a number of 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 rapidly develop secure purposes that they will then certify for collection manufacturing automobiles

Abate De Mey: And so what are these purposes that they might be constructing?

Joe Velocity: Nicely, it had began as you already know, the co-founders and our firm have a deep, wealthy background in autonomous driving. So, Jan Becker has been doing autonomous driving for the reason that late nineties. Dejan has been doing Autonomous driving and, autonomous agricultural automobiles for very a few years. they had been a number of 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 staff at open robotics to design, architect, and develop ROS2. And so we’ve been a giant contributor to ROS2… We’re on the ROS2 technical steering committee and, do a whole lot of heavy contributions to the group, 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 simply guys are growing, 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 little bit bit extra normal?

Joe Velocity: Nicely, it’s, you already know, if you consider how ROS is amazingly versatile and ubiquitous, proper? Individuals use ROS for all types of loopy issues, together with plenty of issues that you simply wouldn’t usually outline as being a robotic. […] Our thought round apexOS. And apex middleware could be very a lot round autonomous driving, proper?

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

You already know, we’ve got all these automakers and tier-one clients utilizing us for autonomous, however then they began taking our instruments and shifting 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 vehicles now.

Proper. So superior driver help system lane centering, adaptive, cruise management computerized emergency braking, the powertrain cockpit capabilities telematics all types of various issues. And in order that’s the bit that’s a little bit bit shocking and fantastic. Is in the identical means that ROS is discovering its means into all types of surprising corners of the world.

Um, we’re discovering ourselves getting deployed into surprising corners of the automotive trade.

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

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

Abate De Mey: Yeah. And so for those who examine it to what the, what the working system or no matter it’s that that’s within the present present-day vehicles, how does this differ from that? And what’s the inducement that’s giving automakers and the folks we’re growing ADAS and different options to modify over

Joe Velocity: Yeah. So there are some things and we should always speak a bit concerning the architectural technical variations, however one is simply the event course of. So at present – 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.

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

After which after they like that, they throw it over the fence to a 3rd group who develops the functionally secure certifiable model that may go into collection manufacturing. Nicely, what which means is for each thought for each Characteristic for each new software you’re doing, you’re growing it 3 times and this isn’t weeks or months.

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

If we may simply enable you for those who’re prototyping in ROS and ROS2 if we will help you get a path to deliver that like extra immediately 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 this stuff.

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

Joe Velocity: Nicely, Lately many of the corporations have some group of individuals or folks inside them with some robotics background. Proper. So, you already know, ADAS I imply, these are robotics domains, whether or not they name it that or not. Proper. You already know, they’re doing use instances and issues that may look very acquainted to roboticists, particularly any which have labored on like AMRs proper.

Like for those who’ve labored on a turtle bot, you most likely sort of perceive what they’re making an attempt to do.

Abate De Mey: Mm.

Joe Velocity: The however this work is going on on the automakers themselves. So proper in automotive, we speak about 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 corporations you’ve, what’s referred to as your tier ones. So these are the large, primary suppliers who do like full methods for an automaker. In order that’s folks like continental, ZF proper. These sorts of corporations. after which there’s a whole lot of others, proper. You already know, there are secondary suppliers, there’s ISV there are individuals who focus on growing particular sorts of software program that go into such methods.

Um, and also you’ve bought the Silicon makers, you’ve bought, you already know, there’s a whole ecosystem, proper. It, it sort of spiders out. So, you already know, for every car 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 corporations, as they’re passing from possibly one firm to a different on this chain, are all of them utilizing the identical product that you simply guys are growing as a type of center floor in order that they don’t need to rebuild the wheel each time

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

Proper. So, you already know, whether or not we’re speaking about, you already know, a PI zero or PI 4 but it surely’s sort of in that one. You may have your MCUs, these are the microcontrollers, proper. So the closest analog to your listeners can be like, you already know, such as you what’s it.. the ESP32, proper? It’s that sort of class of computing.

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

They usually’re utilizing totally different instruments, totally different working methods, and their toolchains are totally different. Their check strategies are totally different. and now you’re making an attempt to break down that collectively to be able to have a smaller variety of larger computer systems. And, you already know, that is arduous. So with ROS, you already know, ROS was developed to, you already know, earlier on everyone was constructing their very own robots and no two robots had been the identical.

So that you’ve bought. Numerous emphasis on portability, a whole lot of emphasis on having some good {hardware} and system abstractions. So, you already know, if this robotic has a special digital camera than that robotic, I can nonetheless get it, determine it out and get it to work. I don’t, I don’t need to throw the applying away. And that’s one of many issues that’s a little bit loopy in automotive is, you already know, you begin swapping out some {hardware} items beneath.

You may truly need to scrap and fully rewrite an software since you don’t have these sorts of abstractions, you already know, you don’t have the flexibility to love, simply choose up your software program. Like, you already know, oh, I used to be operating on, you already know, ECU A at present, however I can’t get it due to the COVID provide chain.

So I’m shifting to ECU B from a special producer. That’s not really easy. however you already know, 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 already know, that’s how, like for those who go to our headquarters in Palo Alto, there’s a whole farm of.

Automotive computer systems from all of our clients with totally different Silicon totally different working methods, fully various things. You already know, every part from a TI to a Qualcomm, to an Nvidia drive to a Renesas, proper. R-car and. And all of those operating various things, however for us, they’re all operating the identical code and people issues get train and pressured and examined all day every single day.

Um, we’ve got a CI farm on AWS graviton2. So one thing attention-grabbing is for the time being, all of my clients have ARM of their vehicles. 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 focus on system.

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 already know, that’s sort of the default platform for anybody doing R&D. Any house, proper. You already know, 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 method to consider it. So, you already know Everybody makes use of Linux. Proper. And, however when it’s essential to deploy it to love enterprise-scale and have it’s arduous and, and supported and safe and all of this stuff, you already know, you may do one thing such as you get pink hat. So like pink hat is a hardened industrial, Linux distro in that very same means, 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 arduous work, however you gotta keep in mind I’m Johnny come these days. Proper? So right here’s the factor. I wished to affix 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 already know, for those who love them, you don’t have to affix the corporate to assist them.

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

And right here I’m. so I do know lots 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 already know a whole lot of heavy lifting, you already know, you take a look at what Jan and Dejan did working with Brian Gerkey and the nice crew at open robotics round architecting, designing, growing ROS2 all of the contributions there.

Um, getting apex as an organization off the bottom. and we’ve got some actually nice early traders, you already know 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 already know, lots of people are very captivated with this subject.

Lots of people. Deep ability and expertise in robotics and automotive. however like folks come from automotive, you already know, you possibly can think about for those who’re a developer, it’s a little bit irritating that if you invent a brand new function, you don’t see it on the vendor flooring for a lot of, a few years, and so they wish to change that, proper.

They need: “how can 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 are taking cloud-style dev ops and convey that into automotive?

How do you deliver cloud-style, virtualization, hypervisors, container, Docker, Kubernetes, all this stuff and convey that right into a automotive and make it functionally secure and security licensed? In order that’s, you already know, folks like our pals, you already know, ARM, AWS, Continental SUSE, Purple Hat Bosch, proper? They’re all working on this factor referred to 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 feels like a woman’s title, proper? So that you only a Sophie it’s, it’s straightforward. It’s, it’s arduous to spell, but it surely’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 targeted on, you already know, how do you develop trendy purposes which are moveable and simply virtualized, and so they’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 this can be a large deal. So it was once each single operate within the automotive had its personal. I feel for those who’re constructing a robotic like that’s simply insane. Proper. However that is the way it was performed. And so now as they collapsed that along with software-defined automobiles, we’ve got a number of domains operating on the identical bodily pc.

Nicely, not all domains are created equal. Like one area is controlling. Automotive radio or my navigation, a special area is steering, braking, and accelerator, which of those is sort of extra vital for maintaining folks alive, proper. And never injuring pedestrians both. And so, you already know, having these sorts 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. In the event you, for those who may have effectively, you already know, in robots at present, you oftentimes can have many computer systems in a bigger robotic, however they’re all operating the identical software program, proper? They’re all operating ROS or ROS2. So it’s, if I must get an even bigger pc, a special pc, I’m shifting 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 an even 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 simple in robotics, however in Automotive, this stuff are arduous.

And they also, how do you deliver this type of ease that we settle for is simply without any consideration within the robotics group and the velocity at which we prototype and deploy within the robotics group, proper? Like, you already know, when folks like fetch in clearpath, develop a brand new function, like, you already know, 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 already know, we’ve bought some actually nice traders, not all of our clients are public. A few of our clients are very public. Like, you already know, Zed F continental are extraordinarily public about how formidable they’re, the issues they’re doing with us. Others aren’t, however for those who take a look at who our traders are, it provides you sort of a clue of what’s taking place within the trade. 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 vital. 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 group of you already know, expertise, traders, VCs who admire what, what we do and, and assist get us off the bottom very early.

So God bless to

them.

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

Joe Velocity: So yeah, I’ll say completely. Sure. With one large caveat. So we respect our clients’ mental property. So. And so working with them, you already know, we study, 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 beneficial properties, just like the issues which are 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 value that it offers.

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

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

Um, we are able to take these and collapse them, collapse these down into, right into a thread. In order that they get executed in sequence throughout the similar 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 value 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 accessible 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 already know, 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 all these automotive computer systems, you already know, 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 photos, pub-sub between interprocess, intraprocess in 60 microseconds.

And we are able to do it at 60 microseconds, irrespective of if it’s a one-kilobyte message or a four-megabyte message. So this mounted latency very, very low jitter, mounted CPU prices no matter message measurement that’s sort of large. And for the automakers, you already know, if you’re doing practical security, you’ve this price range, you’ve a time price range of, you already know, I’ve to finish this process inside this very small time price range 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 price range and CPU cycles for extra attention-grabbing issues, like your algorithms, proper?

Abate De Mey: Yeah. And also you guys additionally just lately bought some publicity for doing, collaborating within the autonomous race problem. May you dive into {that a} bit?

Joe Velocity: Positive. It’s a, you already know, as you would 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 staff. 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 pals.

So folks like, you already know Robotec AI, ADlink Bosch tier 4, open robotics, and pals however the staff that received was TUM. And so there’s a few issues happening there. So one is. TUM upgraded to ROS2 galactic. In order 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 and so they need WON.

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

Joe Velocity: that’s the TUM automotive.

Abate De Mey: What had been a number of the adjustments that you simply guys needed to make the Indy autonomous problem I’m positive, you already know, that is positively an edge case in comparison with the general product.

Joe Velocity: so sure and no. So by way of the enhancements, I’ll simply inform you. rosbag2 in ROS2 Cunning is damaged. Okay. It’s. So this car, 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 already know, 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 intervene with a forward-facing radar, of a special automotive. Trigger they’re all operating 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 discipline 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 and so they 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 pals at new Eagle, security MCU. Entrance-ending the Schaeffler pair of van drive by wire, you already know, so there’s a whole lot of superb expertise in these automobiles. Proper. So, you already know, 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, lots is happening. Like these are million-dollar robots, proper. And two weeks earlier than CES Paulie strikes the Italian staff, 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 monitor. 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. Individuals 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 monitor. However so I, no matter they’re, they’re not Paulie transfer just isn’t performed. 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 and so they 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 concerning the Indy Autonomous Problem. There’s zero threat. Okay. And once I say threat, I speak about one thing vital. Like folks getting injured. Property injury? Oh yeah. We’ve wrecked loads of these, but it surely’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 pals in Japan concerning the Indy autonomous problem, you already know, they are saying, effectively, Joe, you say that has no threat, however we don’t perceive these phrases that you simply’re saying. Proper. As a result of if in case you have a fender bender, proper, like. When you have some little minor factor in your autonomous car program, it’s an excellent disgrace.

It’s an excellent lack of face, however in motorsports, like, let me inform you a situation. It’s Sunday, you place a bunch of race vehicles out on the monitor and so they exit and so they race, and a few of them crash. Is that uncommon or is that only a regular Sunday? Like in Motorsports that’s regular. You count on it. It’s a part of the joy.

Okay. The, and that’s true right here. The distinction right here is when these vehicles crash, I cry a little bit as a result of I’ve been working with these youngsters for 2 years now and like, I really feel their ache. So after they snigger, I snigger. After they cry, I cry after they’re completely happy and leaping up and down, I’m completely happy 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 happy after they crash, however you already know, it’s, you already know, it’s, it’s like Steve Rogers, you already know, we’ve got the expertise, 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 little 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: vital

Joe Velocity: Yeah, completely.

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

You already know you don’t desire a state of affairs the place. You crashed the automotive the primary time you place it on the monitor. one thing else is enjoyable although, is simply getting the car round and gathering knowledge. You may distant management it utilizing. So what does each child know find out how 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 monitor, gathering level clouds, gathering 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 supply a simulation bundle or do you guys use a simulation bundle to check out

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

for the Indy autonomous problem, you already know, that they had 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.

Excellent 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 remains to be there in public. Everybody can nonetheless use it however LG is now not contributing to it. So

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

Joe Velocity: extra issues, extra automobiles, extra vehicles, vans, and tractors. And, and also you’ll begin to see us exhibiting up in different industries which have comparable necessities. Proper. So, you already know, the. You already know, w AMR’,s AGVs issues that drive outdoor issues that go off-road, issues that go indoors all of that.

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

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

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

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

Joe Velocity: Comfortable to, Hey, actual pleasure.

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tags: c-Automotive, Competitors-Problem, cx-Automotive, podcast, Robotic Automotive, startup

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