- il y a 19 heures
Embodied AI: Human-Centered, Data-Driven Exoskeleton Tech
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00:00So, last 30 minutes, yeah, you ready?
00:05Okay, our last 30 minutes is going to be a demo from a company who have been coming back here
00:11every year.
00:13They are a German company, very easy to tell.
00:17It's in their title.
00:18And what their speciality is, is exoskeletons.
00:23And of course, we talk a lot about AI and robotics,
00:26but we don't talk much at this event about augmentation
00:29and how we can use exoskeletons to help us to complete tasks which are harder,
00:35reduce injuries, and improve working conditions.
00:39So, today we have, I would like to welcome to the stage,
00:43German Bionics, who have something to showcase for us.
00:48Gentlemen.
01:02Good afternoon, everyone, future thinkers, entrepreneurs, founders, technicians, innovators.
01:09It's to be a very great honor for me to be here,
01:12together with my colleague, Louis Dafoe, from German Bionic,
01:16here at, actually, the VivaTech.
01:20So, being here at the VivaTech, I think it is very obvious
01:24that technology is revolutionizing all aspects of our daily lives.
01:30And I think this is what we can see here, really, day-to-day of the event.
01:34But, what about the true foundation of all our economies?
01:40The people who are building, creating, moving, and caring?
01:44What about the real, sudden heroes of our industries,
01:50of retail, healthcare, but also logistics?
01:54We, in German Bionic, we believe in the true well-view of human characteristics,
02:02in augmenting human potential, instead of replacing that.
02:06And that's why we are here, and why we are so thrilled,
02:10in order to present to you the new product of our fully augmented,
02:16but also collaborating tool for human-machine interaction and collaboration,
02:24the Axia.
02:25So, what is the Axia?
02:27The Axia is not just an exoskeleton.
02:29The Axia is truly the most powerful exoskeleton in the market,
02:35but it's a completely automationed and fully augmented AI-powered exoskeleton.
02:44The industry is facing, for the last couple of years,
02:48severe and very sincere challenges
02:50when it comes to an increasing burden of muscular skeleton disorders,
02:55leading to profitability losses just in the EU of 2% of GDP.
03:02But, in addition, we have also reduced work scope,
03:08workplace and work skilled workers in the world,
03:12due to the demographic development.
03:14And that means that we need to take care of the workers' health,
03:18to make workplaces more safely,
03:20but also to let these people effectively work longer.
03:25And this is where we step in with the Axia.
03:27As I said, the Axia is the first and most powerful exoskeleton in the market,
03:33but for us, it is a completely renewed product.
03:37We have reviewed the whole architecture of our former technologies,
03:41and we now came up with a very sound and solid,
03:45renewed architecture of the hardware.
03:48But we also, and this is the key point,
03:50the new software-based system can rely on billions of real-world data points
03:58from real use cases and scenarios.
04:01The system supports users and workers,
04:05not just by the hardware lifting up,
04:08up to 38 kilograms per lift,
04:11but also holding tasks.
04:13Louis is demonstrating that.
04:14But also, when it comes to the point of understanding movement patterns,
04:20the machine learning, the AI, comes into place.
04:23So the system analyzes the different movement patterns.
04:26It learns and anticipates,
04:29based on the analyzing and putting your movements
04:33and intention into the context of your action,
04:36how the system needs to adopt and individualizes the support
04:40based on the workplace scenarios you are actually working in.
04:45So either it is lifting tasks,
04:49or is it holding tasks, walking support,
04:53or finally landing forward, leaning forward
04:56in a very forced posture of a long time.
04:58The system gives you the individual support you need
05:01based on understanding and recognizing the movement patterns
05:05you as an individual are doing.
05:07Depending on your body size,
05:09depending on your movement speed,
05:12depending on the way of how your power curve
05:15is actually replicated,
05:16because everyone is individually lifting
05:19and can't compare.
05:21But asking you,
05:22you would never be able to explain it to us.
05:24So the system, the machine learning, the AI,
05:27is detecting and analyzing,
05:28anticipating what support you need.
05:31Coming to this point,
05:32it's not just an exoskeleton we provide.
05:35We come up with a fully augmented 360-degree ecosystem.
05:41So number one is the hardware,
05:44with 38 kilograms of lifting, holding support.
05:48Number two, we come up with a software solution
05:51called German Bionic IO.
05:53The system, based on sensor data,
05:57provides a good overview on a dashboard,
05:59how the economics of the workplace scenario
06:02is currently in your workplace.
06:03So it gives you indications based on the ergonomic data,
06:07how to improve the workplace
06:09so that the human being can be easier doing the jobs
06:12instead of having the lift, the heavy burden,
06:15based on the ergonomic design of the workplace.
06:18Second, we have a German application for the mobile phone
06:23allowing the users to understand the analytics
06:26and the analyzes the system gives of the job
06:29and the different movement patterns.
06:32trying to find the best solution,
06:34giving also somehow coached recommendation
06:37how to improve the workplaces and the movements
06:40and how to design your own work.
06:42And last but not least,
06:44we have the German Bionic IO,
06:47the German Bionic IO system,
06:50which is also putting all the recommendation
06:53in the healthcare index.
06:54So on a dashboard, you can see for the employer
06:59to see how you can better design
07:02the different workplace scenarios
07:04by having a risky index,
07:05identifying movement patterns
07:07which are risky for the health of your body
07:08so that you can get an indication
07:11for better improvements
07:12of doing right in real time
07:14your workplace scenarios.
07:17So in the end of the day for the industry,
07:19I think the fact is very clear.
07:21First, we make jobs more attractive.
07:25We have a more healthy and safety contribution
07:28to the jobs designs we are facing today
07:30in times where we have aging societies
07:32and where we have a high number of younger people
07:35who actually have a different view also
07:38on the jobs of today
07:39knowing that technology is available
07:40to improve the job
07:41and the workplace scenarios and conditions.
07:44So from that end, we are here in order to present
07:48and give you a good indication
07:50of today's available technology
07:51for preventive work safety,
07:54especially with variable robotics,
07:56AI enabled, completely connected
07:58under industry 5.0 principles
08:01in order to put the human beings into the center.
08:04From that end, please feel free to ask questions
08:08if you have further points.
08:10Thank you very much.
08:12Okay.
08:13All right.
08:16Okay.
08:17Any questions for these guys?
08:21About the exoskeleton?
08:23Yeah, we have a question here.
08:26Yeah.
08:30What's the cost of the device?
08:32Cost, the cost, price.
08:33How much?
08:34Well, we have two different price models.
08:37We have one rental fee
08:39which is on a monthly basis
08:41depending on the number of months
08:43you are actually renting the device
08:45and this starts approximately around $350 per month.
08:50How much, sorry?
08:51Goes up and down.
08:51$350.
08:52$350 a month?
08:53Goes up and down
08:53depending on the specific case.
08:55For renting it.
08:55For renting it.
08:56Yeah, exactly.
08:57That's the main case what we are using.
09:01So your customers are mainly,
09:03I'm sorry,
09:03and how much to buy it outright?
09:07How much to purchase it outright?
09:09Oh yeah, we are purchasing some customers.
09:12Yeah, but what's the cost to purchase it?
09:13Oh, we start also,
09:14depending on the amount of devices you do,
09:16you can orient around
09:18at a low five-digit amount
09:22as a purchasing price.
09:23Low 5,000?
09:24Okay.
09:25Five digits.
09:25Okay.
09:26All right.
09:28So your market is where,
09:30is your market mainly Europe?
09:34Well, we are global.
09:36We are as a German Bionic
09:37founded in 2017.
09:39So now we are with this product global.
09:42We are mainly in Europe
09:43but also we have the possibility
09:44for purchasing or renting from the US
09:47but also Asia.
09:49Okay.
09:49All right.
09:50Okay.
09:51There's another question.
09:52Yeah.
09:52Yeah.
09:55Thank you.
09:55Very interesting.
09:56How much does it weigh
09:57and is it a problem for end users?
10:01Well, the product is approximately
10:03six and a half, seven kilograms.
10:06Depends on the equipment you put on.
10:08But since it is put on your main columns,
10:12on your main bones here on the hips,
10:13it's like a backpack.
10:15So you have no weight on the shoulders.
10:18It's all well balanced here.
10:20And this means in the end,
10:21certainly you have this structure on your hips.
10:25But putting the compensation in relation
10:29and the well-balanced product on the hips,
10:33you don't really recognize it in that sense.
10:37For your interest, we have some clients,
10:39especially in the logistics sectors,
10:40they use it really for a hook-fold shift.
10:44But this is not the main expectation.
10:46We have a lot of new sort of methodologies
10:49how you design your workplaces.
10:51So that means a lot of job rotation is coming in.
10:53And therefore, you put the exoskeleton on
10:56for those specific tasks
10:57where you have the heavy burden on the lower back.
11:01You need booster rockets.
11:03Sorry, I was just saying
11:05they should add booster rockets to it.
11:07No.
11:09Just in the evolution of the product,
11:11is the vision one day to produce something
11:15which is...
11:16Because I remember when you guys came here
11:18a few years ago,
11:18you had, I think, a very similar device,
11:21but it was heavier, it was larger.
11:23Are you looking over time
11:24to build something which is lighter
11:25and more slender?
11:28Is that the way you're going, you think?
11:30Yeah.
11:31I mean, with this device,
11:32we already have made a completely rework.
11:35Yeah.
11:35We have done, actually, lighter,
11:38more smarter,
11:40and even a more strengthened or stronger device.
11:44You can see here on the display
11:46that we have the possibilities
11:47to change the different support
11:50the users are expecting.
11:53So depending on your individual needs,
11:55the system certainly recognize
11:56how strong and how speedy
11:58you want to lift up.
12:00But you can also change the support
12:02based on the display
12:04you would like to use.
12:05So up to 38 kilograms
12:07is the maximum support you get.
12:09But it is specifically
12:11on the different workplaces,
12:13sometimes you don't want
12:14to have the maximum support.
12:15And you can completely control
12:17the lifting by your own body.
12:20So first, you have these individual
12:22three sort of support functions,
12:25a slight walking support.
12:27You have the lifting support.
12:29But also, you have the opposite way
12:30in the postures leaning forward
12:32for a long time.
12:33It really keeps your lower back
12:35under a strong burden.
12:37The system holds you up.
12:38And this is what you can
12:39individually, well, justify.
12:43But it seems to me
12:44with the exoskeletons
12:47that I've been seeing
12:47over the years
12:48is that the primary focus
12:49is the back, right?
12:50It's preserving the back,
12:51which is the one thing
12:52that is, once it goes,
12:53it can be very complicated.
12:54It can lead to long periods
12:55of inactivity
12:56and people having
12:57to take time off work.
12:58What about the other articulations
13:00like the knees
13:01or the shoulders?
13:02I don't know.
13:03Do you envisage
13:03making smaller products
13:05for those?
13:05Well, we are,
13:07as a company,
13:08we focus based
13:09on the statistics.
13:10If you read statistics,
13:11you see that the lower back
13:13and the muscular skeleton disorders,
13:15MSD,
13:16is the highest rate
13:18of absenteeism
13:19in job-related illnesses.
13:22And for that reason,
13:24we strongly focus on that.
13:26If you want to look
13:27for other exoskeletons
13:29for work,
13:30what you do over the head,
13:32or if you want to do
13:33just walking,
13:34then there are others
13:35out there.
13:36Because we don't want
13:37to make our product
13:37too complex.
13:39If you put all these
13:40other functions in,
13:41it makes the product
13:42very complex.
13:44This one is based on data,
13:46the one which is
13:47the highest need
13:48in work-related safety.
13:52Perfect.
13:52All right.
13:53Well, we'll do one more question.
13:54One more question
13:54from the audience?
13:56Yeah.
13:57Okay.
13:57Perfect.
13:58Yeah.
13:58That's our microphone.
14:01Excellent.
14:02I like it.
14:04I would like to know
14:05if the device
14:08does work
14:09for women?
14:11Oh, it does.
14:12Yes?
14:13To be frank,
14:13looking into the landscape
14:15of different economic sectors,
14:17we see that a lot of,
14:19a lot of sectors
14:20in the industry
14:21are driving
14:23for getting more diverse.
14:25Especially in the healthcare sector
14:27where we are targeting
14:28the caring and nursing part.
14:30A lot of women
14:31are working in that sector.
14:32but you see
14:33the people
14:34they are treating,
14:35caring about,
14:36they are sometimes
14:36much heavier,
14:37much larger
14:38than those
14:39who they care of.
14:41So for that reason,
14:42we have modified the vest
14:44so it becomes
14:45a vest for female users.
14:47But the system
14:48is driving inclusion
14:50and diversity in jobs
14:52because it helps people
14:53who want to do a job
14:54but maybe have
14:55physical capability limitations
14:57can be compensated.
14:59this is what we call
15:00augmentation.
15:01So we try to keep
15:03the human beings
15:05key USBs,
15:06that's what a human being
15:08is critical for,
15:10and augmented by machine
15:12and robotics.
15:13That's where we come from.
15:14So exactly a very good point.
15:16We have that already
15:17in reality
15:18across various sectors
15:19we are facing now
15:20that we're working with.
15:22In order to continue
15:23the conversation,
15:24where can we find you?
15:25Oh, we are here
15:26actually tomorrow
15:28at the German-French
15:29tech booth.
15:30Ah, yes, I see it.
15:31Today, we are
15:32at the Preventica,
15:33which is actually
15:34another event
15:35here on the site
15:36and where we are
15:38working into,
15:39you know,
15:39demonstrating it
15:40to work safety experts
15:42and the broad section
15:44and selection
15:45of industries.
15:46Okay, so if anyone
15:47wants to have a quick
15:48chat with you afterwards,
15:49they can find you.
15:49They can find you.
15:50They can find you
15:51very quickly.
15:52All right, thank you
15:53both of you.
15:54German-Warnick,
15:55ladies and gentlemen.
15:56Thank you.
15:56Thank you.
15:57Thank you very much
15:57for the opportunity.
15:59Pleasure.
16:01Okay, that's it.
16:02Time for lunch.
16:03I hope it's been
16:04a good morning for you.
16:05Plenty more to come.
16:06We will be starting
16:09at 2 o'clock
16:11with L'Oreal Asia.
16:13So, see you then.
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