ABB’s OmniCore elegantly balances high-speed precision with essential cybersecurity, proving that industrial productivity no longer needs to sacrifice digital integrity. It is a sophisticated integration that transforms the robot from a standalone tool into a secure, high-performance node for the modern factory.
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Deep Dive
OmniCore: Enhanced Productivity & Performance from Motion Control to Cybersecurity
Added:[Music] [Music] what [Music] [Music] good morning good afternoon good evening depending upon where you are in the world most welcome to this AB robotics uh webinar my name is AR viom and I will be the host and moderator and I'm really happy that all of you could join us it's really uh glad that you took time out of your C calendar to be with us here in this event today so the topic it's uh enhanced productivity and performance for the omnicore and we have a great lineup of speakers with us today so starting us off there will be uh Thomas Risinger who is a portfolio manager for General Industries Rel AB also Peter fixel who's the global product manager for uh robot controllers and we are also joined by Michelle Wang who is a Global Electronics product and portfolio manager for IRB and go for Ultra accuracy I hoping I get that title right there it's quite long but most welcome to the team and uh a few things before we get started and today our participants will stay uh muted throughout so if you want to interact with us there is a chat you could use the chat to provide feedback and ask questions so please do so as we go along in the presentation and once we get to the end we will hold a Q&A where we go through all of the questions and try to answer them so take this opportunity ask some questions and help make this webinar a little bit more interactive that being said it's time for me to hand over to uh Thomas most welcome the floor is all yours thank you very much Aid and welcome and thank you for being here so we are very happy to talk with to talk with you about the enhanced and the productivity in the enhanced productivity and performance of omnicore we off officially launched omnicore for our entire product family and we can't wait telling you all the amazing things we you can add to your production today's webinar is about performance and productivity unlocked with omnicore stay tuned for the next minutes we also want to make sure that you can ask questions so we'll we'll take out 15 minutes to introduce some of the key value drivers for omnicore and then we will open up the floor for questions so what are what can you expect today so the webinar is about the introduction that you're listening to me right now then um there is cyber security that enables the digital and flexible Factory of the future omnico controllers are designed for the digital manufacturing ecosystem and Peter will guide you through the cyber security then we dive deeper into the motion control because omnicore provides the best motion control and performance on the market it builds on the strong history of through move and quick move and improved performance for the new robot models automatic path planning en larges the performance to path optimization all this you will hear from Peter again on the third section of motion control and then Michelle and myself will conclude on a productivity in applications really giving you tangible results and how omnicore can unlock productivity in in the applications and the Q&A will as said conclude this session and we're really looking forward to answer your questions as arit mentioned it before but before we go into this one and still sticking in the intro we would like to walk you down the memory lane and see how ABB has developed the to deliver its core value propositions to you starting in 1974 our first um controller S one has um has been launched and it was the first one using a 8bit microprocessor to controling robot um and the control was for all five axes of the robot but all the control has been independent meaning that the path accurity was not at the level as it is right now this starts to be improving 198 with the S2 generation of our controller where the first time it was kinematic models in included in our controller and now it was possible to move along lines meaning that you can really think about path applications um in instead of just point too applications and we will dive deeper into what the meaning for this one is about then the next Improvement came in 1985 where we implemented rigid models and and simple rigid dynamic dynamic models um where where it where the performance or the where the control performance was even more in um was even more improved and fast forward control was introduced now we could compensate for some for some disturbances in the model but still you need very sticky and stiff manipulator structures to have a decent motion control performance and again a step forward was 20 2005 with S5 S4 and irc5 controllers which complete rigid and elastic models here the first time we really could benefit from all the great performance for the for quick move and true move and absolute path accuracy from our robot controllers now the robot models could be used to control beforehand the weaknesses of the um of the dyam dynamic structure of the manipulators and you could build manipulators dedicated to applications at the top not technology now in Omni in 2024 um we even introduced full modelbased control in our control platform and we are we are starting to support machine learning and even more sophisticated Dynamic models with omnicore and we're going to talk with you about the performance enhancement in this webinar but it's not about but there is on the one hand side there's motion control and performance in motion control but there is also you know but at the end you're very interested in productivity because the productivity you're prod you're you're interested in productivity for the application and our complete ecosystem to program a robot like robot studio and Rapid seamlessly integrates in the new omnicore controller for all types and sizes of manipulators it allows to realize any application in modern production technology many of these applications are supported by dedicated application software today we show you how omnicore increases productivity for the spot welding assembly and dispensing applications and having said enough for the introduction I hand over to Peter for digitalization and um digitalization and security thank you very much Thomas and welcome to the part where we talk about digitalization and security so if you imagine the travel we have done since 1974 you were super happy just to run an application and to replicate that uh application over and over again to produce your parts now in the last years we also have seen there is a need to collect information you want to collect information from your robot from multiple robots complete lines accessories and Process Equipment because that gives you knowledge and with knowledge you can always create information and tangible tasks that you can act upon so this is really the trend we see uh next slide please and in this environment the the key part of the robot is to be connected so if you are connected you can share information with your company portal with suppliers whoever wants to be a stakeholder in this game when you are connected it can really give you the opportunity to optimize your factory you can do fault tracing an easy way you can get experts to help you even though they are on the the other side of the globe really gives you the opportunity to run your business in a super efficient way and to continuously improve on your performance so connectivity and digitalization is really here to stay and I think you agree with me even though we have seen it in other areas we know that factories and automation is coming there as well and to be able to run this one in a safe way because it's really once you realize you want to connect then the next question is can I do it in a safe way so within the omnicor architecture we have really focused on cyber security cyber security means that we take care of and make sure that when you run your operation when you share data you do that in a safe way equally when you download your software when you initialize your processes either way you interact with your robot system you want to stay safe and there are some eight elements that we have been targeting like user authentication do not allow everyone to do everything in your system uh secure protocols secure boots secure boat meaning that we will only allow approved files to be executed and if they are not executed if there are some malware or some evil people that want to touch your operation then they will be blocked secure secure credential means that if you have passwords they are safely saved on the controller not even we can extract them they are bound into the hardware so really a full way of making sure that you can run your operation safely making sure that no one will touch your system even though you are connected which you want to be because you want to optimize so really this is what we do this is the really new thing about omnicore being cyber secure being available there for your digitalization and taking your production to the next level next one so this is a little bit like a smos board for us coming from Sweden and telling you about some pitches on what we are doing the next thing about productivity I really want to talk about ABB motion control if there's something we are super proud about and we know that we are U known for is our productivity so the motion control really making sure that what you program is what you get what you see is what you get this is really key to enable uh faster or shorter cycle times and always follow the path so on the next slide I will show you the two keyw we have when we talk about the out of the box performance the the first one is true move and the second one is quick move now true move means we will always stay on path and if you look at the pictures on your right and there's a staircase uh illustration and a circle at the bottom part you see also the red and the yellow PA that are competitors they are trying to follow this path the and trying to do the best one is very slow in reacting and the other one is overshooting so more or less you are not following the path that you anticipated when you were writing your program when you been designing your application whereas the blue one you can't hardly distinguish from the black one the black one is the program path the theoretical path and the blue one is theb path where we follow and make sure that we always stay on PA and this is really speed independent up to the speed of, 1600 mm/ second and this is really critical that we still follow the path and you might think that this is super good for dispensing or continuous applications like art welding but I will say it's equally important for you when you are test running at slow speed when you crank up your speed of course you want to stay on path you don't want to have additional collisions or any other malfunction in your process I'm talking about quick move that is a way to really have a quick start from zero speed and getting up to the correct speed also reducing and stopping so that will give you like 25% shorter cycle time and we take the next one and and this is my friend it's James now we have talked about we follow the path with program but the next question is okay so how do I generate my path traditionally James has been there manually teaching or using Rob Studio to manually teach in robot studio and creating the path of the robot but there's always some tricky things about creating the path you know need to know the environment you want to make it as short as possible you have productivity targets you want to meet so here we have something to help you really a super cool feature bedded into robot studio and that function is on the next slide I have a code driver his name is Thomas automatic path planning so what automatic path planing does for you is you define a starting position and you define your end position and with the starting and end position you also have of the tool and the part you also have a cad model of your installation which illustrates the equipment you have the machines uh any infrastructure that like pillars or roof when that is in place you just press a button and in two seconds automatic path planning will generate the path for you whereas if you did it manually that would be like 45 minutes where we tested with different uh users so they ended up like 45 minutes to create this path but there's also apart from saving the time for programming you have a lot of benefits like the cycle time is reduced from 3.2 seconds to 1.7 seconds and the energy consumption is reduced by 36% so it's all positive all benefits and all is included in Rob studio just by a click of a button and once you think that okay so now we have it in Rob Studio how about making it available for a dynamic environment where I can generate the path every time I need a path so in December we will release automatic path planning online and online means that if in this case we are using a robot we are picking boxes out of a pallet and if you have a camera that identifies the new location for picking the system will automatically generate the best path for you so if you look at this example the path is actually not identical from time to time and that saves tons of time and the next one is me handing over to Michelle I think yes Michelle stage is yours thank you in the next session we'll be focusing on how omnicor supports Ultra accuracy and the applications of such refined technology let's start by exploring the key features of abb's Goa outra accuracy this Innovative technology achieves a path accuracy down to 0. uh3 millimeters making it 10 times more accurate than other cobots on the market additionally it offers outstanding absolute position accuracy of less than.1 mm with a class leading post repeatability of 02 mm it delivers reliable results consistently this Innovation sets a new Benchmark for precision and the flexib and the flexibility in manufacturing applications now let's talk about how omnicore controller supports Goa in achieving these Precision levels besides goas Advanced Hardware Ultra accurate is made possible through revolutionary motion control let's not only include ABB path accuracy High path accuracy delivered by true move but also better handles disturbances and uncertainties by impling onsite information to enhance Sero Loop performance the omnical controller provides enhanced processing power and uses advanced motion control algorithms like finding path and the position adjustments ensuring Superior Precision additionally it's real time uh data processing allows immediate adjustments even in the most complex applications ensuring consistent accuracy it's also supported by AB absolute accuracy a calibration method like provides High Precision accuracy like uh similarly adapting to offline programming this features along with a Ab robot Studio bring our customer precise reliable and flexible automation from design to implementation now let's take a look at ABB Goa Ultra accuracy video [Laughter] [Music] [Music] [Music] [Music] [Music] [Music] okay Goa Ultra accuracy is a technology that can bring automation Precision to the next level it can be applied to all industri that require precise applications thank you for your attention and now I'll pass the floor to Thomas thank you very much Michelle for this great um for this great introduction and you have the luxury to see Peter twice live as well as on a video here um but let's now demystify some of the rumors that are relevant for talking about productivity something we call productivity Basics so data sheets very often list maximum speed for every ACC access of a robot um and you can find a quite diverse picture on all the data sheets but these values do not tell you the complete truth relevant for your productivity is a cycle time and key to reduce this cycle time is the right coordination of the exess knowing the exact dynamic model of the manipulator based on our quick move and true move um technology Peter introduced before that's not just some headlines you see on our data shoots sheets is really the achievement for of the fastest cycle time you get for an industrial robot and therefore it boosts your productivity so keep in mind Exel speed is not the complete truth it's about the real U excess speed is not the real um it's not the real truth it's about the faster cycle time and um ABB provides you the fastest cycle time taking the quick move and the true move approach in the motion control of their controller and making this even more tangible we can talk about productivity in point topoint applications that can be shown using the cycle time Benchmark for spot welding on the right hand side you see a video looping of a typical spot welding application and the gun is moving from point to point and is putting a space so for Point too application it's not important how the path of the robot is in between the point but it's of superior importance that we have an accurate point and that it moves fastest from one point to another so and if we compare um the point-to-point performance of ab with some of the competitors we really outperform them and you can calculate um this performance increase or this performance boost of ab robots with our motion control performance that AB robots can produce up to six cars more in one day in a typical Automotive spot welding line if you assume a certain size a certain number of spots on a car and this really gives you a tangible figure how AB Motion Performance outperforms our um our competitors and really helps you to boost productivity the same is also true for path applications um and let me start the video you can see on the right hand side the dispensing application where our [Music] um class leading path accuracy can be seen in action the first time the robot is moving with quite some moderate speed and it's exactly following the application and the path that you would like to achieve but it's very very important and it's crucial for the um for the productivity of this application that you can run this um path even in higher speed and you will see this right now it's exactly the same path the robot is moving with a double speed and the pass is exactly the same as before this means you can double the productivity and taking into call into account all the side effects with this um you can keep the process quality independent of the robot speed which results in 25% increased performance if you use Ab robots with our Superior motion control performance what we have told you about the motion control performance is not only true for um for moving a robot but we also improved the we reduced the commissioning times for weeks to hours by having pre-engineered applications in our offering we support all major communication prot protocols for easy third party integration um we have hmab based custom customizable Flex pendent and on and on so we not only focusing a motion control performance but also in reducing the commissioning times for our system integrators and for our end customers if using AB robots this is concluding our insights into the capabilities of omnicore regarding enhanced productivity and performance and we are um happy now to take your answers and before handing over or handing back to AIT I would like to um make you aware of the next um webinar that is upcoming on January the the 23rd and there the topic is Energy Efficiency a topic that is more and more important for all of our customers by driving um sustainable productivity so stay tuned and um put this maybe already in your calendars and now I'm having handing over to arbit for um moderating the questions and answer sessions thank you and you are muted AR I saw I needed to unmute there no webinar is perfect without the reminder to unmute so it was me at this time um but I was saying that I just wanted to thank all of our presenters for doing a great job with uh the presentation part here and we are now open for questions we had a few questions come in while you were presenting at least one so if you do have a question for us please go ahead use the ask the speaker chat and we will be happy to answer the one question that came in is what kind of camera feedback is needed for the dynamic automatic path planning I guess that one is for me Isn't it so we are completely camera agnostic so if you have a camera that can identify the the Box itself that is a camera we need to have because what it will deliver to the robot system is a picking position once that is done we can start to generate the path in between the picking position and the leave position MH perfect thank you very much Peter let's go ahead and see if we get some other questions while we're waiting to see if we get more input I can just remind everyone that the webinar is being recorded so we will send a thank you uh email to all of you that participated and with a link to the recording so that you can review it uh followup question here is it possible to have Ultra accuracy in in the existing Goa I will take that one as well I would say yes uh all the hardware is included in the Goa structure already from start uh what we have done is to add a lot of intelligent software on top and you can recalibrate the robot of course now the the process to do it is to send the robot back to factory because we need to have the factory equipment to do the calibration but yes it's possible mhm perfect thank you Peter so uh once again we've emptied out maybe while we are waiting for other questions um we can show this QR code um for um for further information on the webinar I just mentioned as I said January the the 28th at 3 p.m. C there is another webinar it's right now about efficiency and the trainability and um if I'm right just scan the code and um that you get some more information and to join our next webin perfect thank you Thomas so that's uh we have another let's see here another question perfect Simon wants to know is it possible to upgrade an existing irc5 system to an omnicore controller uh yes definitely this but then we what you need to do is to replace the full controller uh we are supporting the uh the manipulators that are on the market currently so an upgrade of the controller side from ic5 to omnicore means we replace the full controller uh there are some differences in how they are designed so it need also some engineering behind it but definitely that is an upgrade business that we are providing from our customer service and local service organization so if you are interested contact your local AB robotics service organization and they will help you great thank you Peter Let's see we have something and this one other question came in uh what would you say about the energy lost during frequent emergency stops do you have any algorithms to optimize this well an emergency stop for us typically that is a stop using our servers and uh using the servers we will feed back that energy to the grid now Energy Efficiency on omnicore is really an intelligent power supply unit which can both feed the robot and feed back to the grid once a robot is coming to the stop if that is coming to the stop through normal operations or it's coming to a stop through an e stop situation where you use your Servo to reduce the speed also staying on the path that is super important during EOP situations we always want to stay on PA because you want to avoid any the consequence of collisions with equipment as well during an East situation so that energy will definitely be fed back to the grid MH and there is no loss of energy you can use it in any other equipment in your factory like ventilation lighting other robots Process Equipment mhm there's a followup to this question there my doubt was about the tear and wear cost due to this condition currently there of course when we design the robot system the we design it for a number of e stop situations but I will say if the EOP situation is using the robot and staying on path that doesn't add any wear and tear to the robot the one that does add um so wear and tear on the robot is when you go for the category zero East stop as it's called when you use your mechanical brakes to stop the system but that is very rare normally you would run it as a category one which means you stay on path using the servo to reduce the speed then it's just another way of controlling the robot and you don't have any extra wear to the okay perfect thank you once again I think we have uh yeah there a new question here perfect Hardware aside what migration steps would be necessary to migrate a system from an irc5 to an omnicore are there significant changes with regard to the rapid code or uh can the programs be easily dropped onto the new controller uh first of all I would say yes the rapid program can be dropped on omnicore uh we are using the same rapid commands and the same structure of the programming where you will end up in some engineering needs depends on if you have spent hours and uh designing your user interface on the flex panels if that is a case uh you would need to redesign your user interface uh if you look at the wiring and connectivity of the robot and the robot controller that is slightly different you you will you will recognize what it is but there are different ways of connecting the EOP uh General stop EOP status output Etc uh the iio system looks slightly different so you would need to spend some time to identify how you reconnect all your signals in the system but apart from that I I believe it's quite straightforward to change from is5 to omnicore and typically is is that is what we are asking our customers currently when we are transitioning from R5 to omnicore uh that is to ask them to make this redesign and so far yes it it requires some hours but uh it's not something that is sort of a hurdle for the operations M thank you Peter while we're on the topic here of IRC 5 there's another question here about software will all the software add-ins that are present in current rc5 become to the new omnicore if yes then until when by which year will we have the rc5 addin on the currently we have uh all the addins or majority of the addins already transferred uh we have done some L changes uh to the software we have been doing also repackaging of the software components and the options we use for software functions but everything should be in there already now or coming until end of this year M that was a second part uh secondly is it better to go with omnicore controllers and wait for a take your software package or should we go with IRC well if I was to choose I would choose omnicore uh every day in the week uh we have come to a maturity now that is more or less covering everything we did on rc5 even though it looks different uh I would if you have a choice now to go for rc5 omnicore I would definitely choose omnicore uh omnicore is future safe and I5 will be uh say removed from the market in one and a half year so if you want to stay safe for the future go for omore yes thank you next question what are the most significant advancements in AB omnicore compared to previous automation Solutions um then this is a little bit larger question so let me re so frame it into why we believe omnicore is better and what we have made as changes first of all uh if you look at the controller boxes now the controller boxes are five in number starting with E1 which is very small uh tangible uh controller for running up to rv300 robots and then it scales through C30 C90 XT v250 XT and v400 XT for the largest robots like the 8700 robot so the portfolio of different sizes and the scalability of the sizes of the controller cabinets definitely is different uh secondly we have inte integrated a lot of new robots onto the omnicore platform so everything that is new goes into the omnico platform and not on the RS5 platform so we have a really a wide range of robots available from Delta robots Sixaxis robots pal tizers scar robots and cobots on the commor platform uh the next one I would like to mention is the environmental safety now five 10 years ago we were happy when we could run robots and got the process and production running uh but the requirements are changing uh the requirements on can we really be safe that we are sending all the signals through the production line uh etc etc so we are really focusing on safe operation and safe operation is as we talked about cyber security how you share data it's about the safe protocols on communication and also safe iOS so really making sure that we can trust the operation is really a big deal and of course we have been working on the the performance the dynamic behavior of the robots uh as we talked about today with quick move through move that's really a game Cher where we have increased performance by a factor two so there is a lot of things that we are working on to say that omnicore is a better controller compared to ic5 perfect thank you very much Peter next question is quite a long one so um be with us here I come from contract Logistics background where operations operations within four walls we wanted to introduce robotics driven operations to pick products from shelves as per the placed order put away incoming products to store in Warehouse Etc we would like to leave the how to to robots the question here how do you implement simultaneous localization and mapping Slam in a robot and what are the primary changes faced during its realtime application it say a question for you Thomas I was thinking about it I guess it's a very long question we cannot dive into every detail of it it's it's it's very interesting and I would like to um talk with you or talk to you about um the item picking um Solutions we offer for example for the logistics domain so we are really building on 3D vision technology to solve and to help our customers um to solve problems in the logistics domain it would be really interesting to dive deeper in your requirement that you're having and understand it um even even even more and we are really there um to to help you with this one because we believe we have a really future proof portfolio for Logistics applications built on three 3D Vision and artificial intelligence based vision technology so I can only refer to this one would be great if you continue this one and you contact an ABB stes person regarding this one and um we are happy to take this one and drive this further yeah and isn't it true also Thomas we already have customers within this area where we have solved it with the logistic Transportation partiel singulation Etc yes we have it for as you said for um for for parcel singulation we have it for item picking um in in various Logistics applications although that there are reference cases where we can build on and I'm really looking forward um to have to to to to implement more of these systems MH perfect thank you both and we have one more question can Scara robot scar robots on omnicore work faster than on [Music] irc5 uh yes I would say yes but most of all we have more scar robots on omore compared to ic5 so we have a wider range of payload reach and of course they are faster uh I I need to mention one thing that is super important when you do your simulation of your process capabilities when you are into the engineering phase of an application I'm quite sure that you would like to verify your performance before you say and sign off that this design of my application is correct then I would recommend you to use robot studio for simulating the the cycle times and the performance because in Rob Studio we are using a virtual variant of the omnicore controller platform so it's actually it's the same controller platform same software that we have in the real controller so if you want to be dead sure on your cycle times during simulation before you start to consume a lot of money and placing orders for Hardware run Rob Studio that is the best way to verify your performance you will get MH great so that was was the last input we had uh thank you all very much for your interesting questions so let's wait a few more moments here to see while we're waiting we do actually have a small poll that we would like to run it's basically just a question if you have an upcoming project for which you would like to receive any further information on the omnicore or any other AB robotics solution so please uh should be visible on your screen now so go ahead and put your vote in here if you'd like to receive any further information all right we had another question come in here and it was actually for me which is very rare in these locations so I'm very happy that that I actually got a question normally I just read them but the question is uh if we can have more power pack based webinars like the one we had last month for arwell and for sure we we can uh look into that we have a lot of more power packs that we can do a webinars for so I'll take that request with me and we'll try to set something up for you so thank you very much for that input and other question um are there significant changes in the communication between between say a PC application versus irc5 oh that's a wide question hope I will answer this this one correct so I would say yes it's a difference uh because we are using our own commands uh if you want to extract data or push data to the robot system definitely there's a difference in uh how you communicate but we are using ethernet based Communications so if you want to run profinet or ethernet IP or CC link or ethercat we support them all uh if you want to extract data we are using opcua or mqtt as transfer Protocols of that data so really there's a large V variety of opportunities for you but I will say yes it looks different but on the other hand if you're familiar with communication protocols I wouldn't say it would be a problem for you it's a dialect of what you already know M yes thank you another question came in does omnicore reduce the vibrations and energy lost due to this could you talk about the heating reduction in cobots after omnicore I'm not sure if I'm answering the wrong question please put a new one in the chat um omnicore by itself is it's designed with a bir directional rectifier so it really it saves your energy when you're breaking normally what would be generating heat uh like the brakes on your car that get hot when you break now we have similar to a hybrid vehicle that you feed it to the battery now we feed it back to the grid so we really are saving energy which of course also uses a heat generation uh the heat generation in the robot by itself is very much depending on the uh the application you're running how hard you're running and uh the efficiency of the motors the efficiency of the gears and the payload you're you're moving uh I would say it's that part is equal in between rc5 and omnicore but not the feedback to the grid that is always only on omnicore MH thank you oh let me check some of the channels here no I think we don't have any other questions that we've missed all right uh I think then that we will go ahead and close this session but before uh we do I'd like to to hand it back to our presenters if you have some final words or perhaps some key uh takeaways from this session so Thomas would you please yes thank you very much for all of you attending this webinar um it was very interesting and we we really enjoyed our way from talking about cyber security that is the kind of license to operate and that enables a digital and flexible Factory of the future diving really deep into the mo in the motion control performance and how um omnicore can help you to improve your productivity down to the very interesting um questions and answers questions and hopefully the answers we provided um to you thank you very much for this one please be reminded there is a new webinar coming up end of January feel free we hope you um you will you will sign sign in for this one as well and thank you very much for your time and looking forward to he and see you again yeah really great to have you I hope you found it interesting if you ask me I could have a five hour webinar on all the topics that is circling around the omnicore but this was really touching the basis for performance and what we can offer you but if you are interested get in contact with us and we can arrange for a longer meeting to tell you all the beautiful things we provide with AB robotics thank you perfect so with that said I'd like to thank you all our presenters for joining us and providing us with all of this wonderful information and handling all of the difficult technical questions uh with these so thank you all very much to your participants thank you for taking the time to join us here today but that's it for this session we do hope to see you again in future and the upcoming webinars bye-bye
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