Skip to main content
Robotics

Robotics

Field of studyWikipedia

Search complete. 137 mentions across 44 episodes found for "Robotics".

Oct 28, 2026

Boris SofmanGUEST
4:02
You asked what's sort of new about that.
Boris SofmanGUEST
4:06
The secret sauce, I think, in robotics is deployment.
Boris SofmanGUEST
4:10
It's like... get the system out there, you have this thesis, and then you train on lots and lots of data, so you sort of think it does everything.
Grace GongHOST
4:21
Then you
Boris SofmanGUEST
4:21
get the system out there, and somebody has some new thing that they want you to do.
Boris SofmanGUEST
4:27
And that's sort of the early stage of deployment.
Boris SofmanGUEST
4:29
And so for a startup, in robotics in particular, you want to turn the crank on those deployments as fast as possible.
Boris SofmanGUEST
4:37
consume problems and turn out capability and turn that crank faster and faster.
Anish ShahGUEST
5:06
Let's do it.
Anish ShahGUEST
5:07
And then shortly after that, Google DeepMind came and they built the first versions of Gemini Robotics on Trosten hardware as their reference hardware.
Anish ShahGUEST
5:15
And it just sort of has scaled up from there.
Anish ShahGUEST
5:18
But I think until that moment, there was not good consensus on how to collect physical AI data.
Anish ShahGUEST
9:56
It's a really complicating factor.
Anish ShahGUEST
9:58
And it is a hurdle that people have to get through.
Anish ShahGUEST
10:00
It's what Gemini Robotics and Physical Intelligence and all these companies are working towards, but we're still in the early innings of that, right? And so our theory was that if you could build hardware that was production grade hardware at research grade pricing, well, then you could take the same robot that you did the research on, the model training on, and actually just have that be the deployment robot.
Anish ShahGUEST
10:23
And so that's how we built this new hardware line was to say we want production grade hardware that is affordable enough for research.
Shuran SongGUEST
15:07
Many of the tasks here is actually something that I thought was impossible before, like flipping pancakes or rolling doughs.
Shuran SongGUEST
15:15
So the question now is actually, Should we just keep doing it until the robotics will be stopped? Well, I really hope so.
Shuran SongGUEST
15:25
But the answer is clearly no.
Shuran SongGUEST
15:26
I just started my talk.
Shuran SongGUEST
17:45
That is data that is scalable, reusable, and the robot complete.
Shuran SongGUEST
17:50
So why are all these different three aspects important? So I think in today's context of machine learning or big data, I oftentimes find that the scale is the only thing that people emphasize.
Shuran SongGUEST
18:03
However, I think in robotics, the story is quite different, or at least slightly different, that we're having the data that is reusable and the robot completes is oftentimes even more important than just the scale.
Shuran SongGUEST
18:15
And I think maybe, at least I think, that the lack of careful thought on this later tool requirement is maybe the true reason why we haven't put our robots on the same scaling trend as other ML fields.
Aaron PratherHOST
0:40
Can you train an engineer on new skills or vice versa? Could you take one of your operators and upskill them? That's where the magic could actually happen.
Aaron PratherHOST
0:50
Welcome to the Business of Automation, the show that cuts through the hype and tells you what's exactly happening in the world of robotics, automation, and physical AI.
Aaron PratherHOST
0:57
I'm Aaron Prather, Director of Market Intelligence here at A3, the Association for Advancing Automation.
Aaron PratherHOST
1:03
And in our show, we go beyond the headlines and actually separate the signal from the noise.
Aaron PratherHOST
1:36
See you in Detroit.
Aaron PratherHOST
1:41
This week on The Business of Automation, the U.S. Army just graduated the first class of a brand new job, 19 weeks, 10 warrant officers, and a job code that did not exist before, 390A Robotics Technician Integrator.
Aaron PratherHOST
1:56
Emory University and Georgia Tech have built a five-year dual degree combining an MD with a master's in robotics.
Aaron PratherHOST
2:03
They plan to enroll just four to six students a year, though.
Kelly BarnerHOST
1:05
Absolutely.
Kelly BarnerHOST
1:06
Now, I know my audience has already heard robotics and warehouses and AI, three huge phrases here.
Kelly BarnerHOST
1:12
But before we dig into that, I want to give everybody a chance to learn a little bit more about you.
Kelly BarnerHOST
1:18
Can you talk a little bit about your professional background?
Kelly BarnerHOST
3:47
Yeah.
Kelly BarnerHOST
3:47
Well, let's ask one of those big, tough questions to start sort of the body of our conversation.
Kelly BarnerHOST
3:53
Can you talk a little bit about this moment for physical AI and warehouse robotics?
Çetin MeriçliGUEST
4:00
I think the term physical AI is rather new, and maybe people look at that and see, oh, here we go, another repackaging of the same old robotics or automation.
speaker_0NARRATOR
0:00
Career Communications Group and the Waves of Change STEM Conference present Tech Innovations, AI, Robotics, and Beyond.
Rodney BolliePANELIST
0:10
Hello everybody.
Rodney BolliePANELIST
0:13
Thank you so much for your patience.

1 HR LATER

speaker_0NARRATOR
60:43
and clean energy.
Christine BurketteMODERATOR
60:44
Thank you so much for coming to this session on AI.
speaker_0NARRATOR
60:48
Thank you for tuning in to Career Communications Group and the Waves of Change STEM Conferences presentation of Tech Innovations, AI, Robotics, and Beyond.
Shomik GhoshGUEST
5:39
Schlumberger has been around for a while and has been deploying AI models there, but we're still seeing like physics models being used and just a lot of new things that are happening.
Shomik GhoshGUEST
5:46
Robotics, obviously, is going to be big in that space as well.
Shomik GhoshGUEST
5:49
So there's just so many learnings that you get from over these years from just studying these different industries.
Shomik GhoshGUEST
5:54
And I think that just comes from being curious.
Raphael ZuffereyGUEST
53:45
But yeah, you still have these spikes that wouldn't be so good if it was to actually close onto you, right? That would be something to avoid, yeah.
Raphael ZuffereyGUEST
53:54
Definitely a lot of more soft robotics approaches would be good there.
Raphael ZuffereyGUEST
53:58
Yeah.
speaker_19UNKNOWN
53:59
How would it take off again?
达姐HOST
4:45
啊。
MaxHOST
4:45
...啊,申师傅,啊,write code了一只game,很好正喔,那么,那么我有一堆files了,那么我怎样摆出来给人用呢?那么,那么这个呢就会是啊Judy Wong,Judy Wong呢就是,呃,介绍一下她啦,那么她呢就是,呃,有-有一间公司叫做RoBe^3的robotics啊,她,就是本业呢,她有一间公司是做机器人的哈,那么也都是,呃,呃,也是一个full stack的software和hardware的engineer啦。她自己呢也都是,呃,在啊文欣程那间啦,呃,AI,呃,港人培训学院呢有做过导师的,那么所以呢她都很有经验啦,那么所以,呃,她就会示范给大家看,都是一个interactive的workshop来的,就是大家可以拿着部电脑,啊,真是write code了一些东西喔,那么跟着她一步一步那样去,呃,就是起一个GitHub account啊,接着,呃,怎样去按,怎样去publish啊,那么你可以跟着她做,那么有问题都可以问她的。那么呢,时间呢就会是这个星期五的晚上七点半到九点,是啦。那么呢都是一个online的workshop来的,那么现在都继续可以登记的,那么你登记了呢,就会获得一条Google Meet的link啦,这样。那么我就,就是我要咨询一下那个speaker的意见,看看她
达姐HOST
6:07
她呃,我,我 OK 去,去录影啦。那因为都,但是都鼓励大家去现场参与,因为那个 interaction 才是最重要的。是啦。
MaxHOST
6:17
嗯。
Paul SeaburnHOST
28:09
So I want to talk about a nice robot.
Paul SeaburnHOST
28:14
So a team of researchers from the Soft Robotics Lab in Switzerland has built a robot that looks just like a robot version of things.
Paul SeaburnHOST
28:24
There you go.
Paul SeaburnHOST
28:25
It's a hand connected to nothing else, radio control, walking along just like Thing did.

34 more episodes mention Robotics.

Create an account to see the whole feed, search across every transcript, and follow the entities you care about.

We value your privacy

We use cookies to understand how you use our platform and to improve your experience. Click “Accept All” to consent, or “Decline non-essential” to opt out of non-essential cookies. Read our Privacy Policy.