Everyone Can Build a Robot: Open Source Embodied AI With Seeed Studio | NVIDIA AI Podcast Ep. 300

Summary

---

NVIDIA AI Podcast Ep. 300

Everyone Can Build a Robot: Open Source Embodied AI With Seeed Studio
Date: May 27, 2026
Guests: Eric Pan (CEO, Seeed Studio), Elaine Wu (Head of Robotics, Seeed Studio)
Host: Noah Kravitz

---

Episode Overview

This episode explores how Seeed Studio is democratizing robotics with open-source hardware, embodied AI, and partnerships—including a deep collaboration with NVIDIA. Eric Pan and Elaine Wu discuss how robots once accessible only to experts and large enterprises are now within reach for students, hobbyists, small businesses, and innovators worldwide. The conversation centers on making robotics more open, affordable, and accessible, illustrated through their products (like the SO Arm and Raybot), integration with AI frameworks such as OpenClaw, and a vision for a collaborative, agentic future.

---

Main Discussion Points & Insights

1. Seeed Studio’s Mission and Evolution

• Origins and Vision
  • Seeed Studio has supported the global open-source hardware community since 2008, originally focusing on modules but now offering complete robotics solutions. (01:22)
  • Quote: “We have been supporting the global communities on open source hardware from 2008 for 18 years… we move on to all kinds of devices.” – Eric Pan (01:22)
• Partnership with NVIDIA
  • Collaboration started with Jetson Nano; now Seeed offers a lineup of Jetson-powered robotics and advanced hardware for both perception and control.
  • “We also have a full stack of robotic components… our mission is to make technology more accessible to everyone.” – Elaine Wu (01:51)

---

2. The Importance of Openness in Robotics

• Ecosystem Growth through Open Source
  • Openness accelerates progress by inviting collaboration; robotics advances like “a new society of robots” emerge from diverse contributors worldwide. (02:31)
  • Quote: “You see a lot of IoT, a lot of robotics in early times… it’s easier for everyone… Now they can use technology for themselves no matter where they are all over the world.” – Eric Pan (02:31)
• Trust, Accessibility, and Customization
  • Openness fosters trust, flexibility, and user control—crucial for adoption in settings like homes and factories.
  • “Open also means accessible… open module and customizable and also affordable and also a bunch of tutorials…” – Elaine Wu (05:43)
• Barrier-Lowering and Empowerment
  • Tutorials, dev kits, and reference designs empower hobbyists, researchers, startups, and even large companies to innovate and iterate quickly.

---

3. Who Uses Seeed Robotics (Customers and Domains)

• Primary Users
  • “Millions of customers” ranging from hobbyists and students to researchers, startups, and established companies. Many began as makers and evolved into leadership or entrepreneurial roles. (06:38)
  • Quote: “Most of them are calling themselves makers… hobbyists like students… they becoming startups, they becoming the project needs in big companies.” – Eric Pan (06:38)
• Real Business Impact
  • Small and medium businesses now have access to affordable robotics for productivity and application-specific innovation.

---

4. Lowering the Barrier: SO Arm and Ease of Use

• Key Product: SO Arm
  • An open-source, AI-ready robotic arm co-developed with Hugging Face, priced at $200, making robots accessible for education, hobbyists, and small businesses. (08:10)
  • Robots once reserved for specialized, expensive applications are now used in “cooking, barbecues… street business.” (08:41)
• Ease of Training: “Teach Like a Dog” Paradigm
  • Modern robotics moves beyond complex programming. Users can “train” a robot by guiding it through motions; data is then sent to the cloud for further AI training, breaking down previous barriers. (10:02)
    • Quote: “You train it like you train a dog… Then you send all the data back to train on the cloud and deploy on a Jetson.” – Eric Pan (10:02)

---

5. Integration of AI and Voice-Controlled Robotics

• OpenClaw and Jetson
  • Local installation of OpenClaw on Jetson allows natural-language, text-based control: “move up the arm,” “pick up the claw”—no coding needed. (13:12)
  • Quote: “It’s not coding anymore, it’s just the texting and to control the arm.” – Elaine Wu (13:12)
• Self-Learning and Cloud Integration
  • OpenClaw’s agentic behaviors: It can auto-install libraries, reason from instructions, and assemble its own control stack.
  • Memorable Moment:
    • “We actually give OpenClaw a physical body. Not only help you to understand the world, but help you to build the world.” – Eric Pan (14:51)

---

6. Robots as Agents: Identity and Collaboration

• Robots with “Souls”
  • Developers can infuse roles, identities, and specific skills; agentic robots follow roles and collaborate, e.g., as a chef or an orchestrator for other devices. (16:10; 16:24)
  • Quote: “You can write in the cell—what’s your role, what’s your definitions, and what are your skills? … Now you are chef. You should have us cook this egg.” – Eric Pan (16:24)
• Society of Robots
  • Multiple physical agents can coordinate, creating complex, collaborative systems—e.g., AGV feeds a robot arm, which executes trained procedures.

---

7. New Releases & Applied Robotics

• Raybot – The Next Generation
  • New open-source robot arm (“Raybot”)—already popular on GitHub—features robust trajectory planning, 3D-printed customizable parts, and runs locally with Jetson Nano. (~18:09)
  • Pricing for business application: less than $1,000, with fully open-source design files for remixing and rapid adaptation.
  • “First is open source… you see some of the parts they are 3D printed… The second thing is more applied… No, it’s just $1,000 to start with.” – Eric Pan (18:59; 19:30)
• Simulation and Digital Twin
  • Robots can be simulated in NVIDIA Isaac Sim for digital-twin development and validation, bridging the gap between virtual and physical robotics. (18:09; 21:53)

---

8. Safety, Control, and the Future of Agentic Robots

• Safety Practices
  • Emphasize applying established robot safety guidelines, keeping humans in the loop, and including physical panic buttons for emergent situations. (20:26)
  • Quote: “We apply the basic layer first, then we explore the boundaries. And we have a panic button. [… ] Should we start?” – Eric Pan (20:45)
• Rapid Evolution and Experimentation
  • Tools like OpenClaw are so new, boundaries are being actively discovered, with daily advances.

---

9. Open Development, Customization, and Scaling

• Reference Designs and Service Model
  • Seeed provides open-source reference designs allowing organizations/startups to modify and scale products for their own innovations quickly (25:22).
  • Rapid prototyping: Example of collaborating with Hugging Face to ship 3,000 units (“Rich Mini”) in five months (23:30).
• Modular Strategy vs Single Humanoid
  • Focus on “disassembled” humanoids—providing arms, chassis, hands, heads, etc.—for modular, scenario-specific robotics rather than all-purpose humanoids. (26:40)
  • Quote: “We don’t want to build general robots… we build like the head and the torso, we build the arms and we build the wheels.” – Eric Pan (26:47)

---

Memorable Quotes & Moments

• Eric Pan (on openness):

  “Through open source it’s not only the technology is evolving fast because people can contribute with their own talents, and also it’s a trust, it’s for adoption.” (04:17)

• Elaine Wu (on accessibility):

  “Open also means accessible. Accessible to all developers… to help developers to get very easily to hands on these different products hardware and also the open source dev kit and also growing together with the ecosystem.” (05:43)

• Eric Pan (on end-user empowerment):

  “It’s not replacing me, it’s the robot I acquired and it’s going to enhance my operations.” (10:13)

• Eric Pan (on robot agency):

  “We actually give OpenClaw a physical body. Not only help you to understand the world, but help you to build the world. Help you to move the physical things around you.” (14:51)

---

Notable Timestamps

• 01:22 – Seeed Studio’s history and mission
• 02:31 – Open-source robotics as a “new society of robots”
• 06:38 – Customer base: from makers to enterprises
• 08:10 – SO Arm: affordable, open, co-developed with Hugging Face
• 10:02 – Training robots by demonstration (“like you train a dog”)
• 13:12 – OpenClaw and local text-based robotic control
• 16:24 – Assigning identity/roles to robots
• 18:09 – Raybot: new open-source robust arm
• 21:53 – Digital twins and simulation to physical deployment
• 23:30 – Fast prototyping: 3,000 units in 5 months
• 26:40 – Modular robots vs. single-purpose humanoids

---

Further Resources

• Seeed Studio:
  Website: seeedstudio.com (with three e’s)
• Social Media:
  Twitter, Facebook, Instagram – search “Seeed Studio”

---

This episode provides a vivid, hopeful look at a new era where affordable, customizable, open-source robotics powered by AI are available to everyone—makers, innovators, and businesses—with the tools, support, and community to bring robots into the mainstream physical world.

Transcript

[A]

Previously, you need to spend months of trainings to understand the spatial planning on the robots, how it moves. But now what you do with the robots is, after the setting up, you train it like you train a dog. You teach it how to do it with holding its hand to do the operations for several times. Then you send all the data back to train on the cloud, deploy on the JSON.

[B]

Welcome to the Nvidia AI Podcast. Hi, I'm Noah Kravitz. Our guests today are Elaine Wu and Eric Pan from Seed Studio. Eric is the CEO, Elaine is the head of robotics. And if you're not watching this on video, if you're listening on audio, you might want to check out the video stream. We've got a handful of robot companions with us today. We're going to get some demos, we're going to talk about open robotics, Open claw, edge computing, robotics and AI, all kinds of great stuff. So let's get into it. Eric, Elaine, welcome. Thanks for joining the Nvidia AI Podcast.

[A]

Pleasure. Thank you for inviting us, thank you

[B]

for having us, and thank you for bringing your friends. So maybe we can start. And Eric, I'll ask you first for a little bit of an overview for listeners, viewers who might not know Seed Studio, what the company is and how you moved from open hardware into robotics and edge AI.

[A]

Sure. So at CD Studio, we have been supporting the global communities on open Source hardware from 2008 for 18 years. So we do starting by open source hardware modules, but we move on to all kinds of devices. We worked with Nvidia for several years around JSON nanos, but now we have a lot of more robotics, open source robotics from arms, from little desktop embodiments. So this goes on.

[C]

Yeah. So as Nvidia elite partner, so I see that our robotics team have built a lineup of the Jetson O ring devices as the most powerful and advanced robot brain. Together with that, we also have a full stack of robotic components from perception and from the control. So I see that our mission is make technology more accessible to everyone.

[B]

And so how is this convergence of AI and OpenAI and robotics hardware and technologies now like OpenClaw? How is this shaping the world of robotics and open robotics?

[A]

I think it's a very evolving and progressive trend. People starting to understand microcontrollers, okay, everybody can use microcontrollers through all the open source hardware and maker movement. Then gradually people realize, okay, I have the open source hardware, can I use it for industries? Can I do real projects with that? So you see a lot of IoT a lot of robotics in early times start to pop up because it's easier for everyone cross boundaries coming from different industries. Now they can use technology for themselves no matter where they are all over the world. And with all the Hai or these agentic AI and people see it differently. Okay, I can really get things talking. I can really give a soul to my Christians. It's not just a machine, it's a machine that can talk to you, can get assigned on tasks. And this is becoming a new society of robots. And the community I think is the root, because you don't need one robot for everything. For now it's actually going to be specialized robots with open source models covering a specific domain. And it has to be done by millions of people all over the world. So we are happy to support Nvidia in this whole process.

[B]

So along those lines, why is open the idea of open so important to robotics? And you hinted at this and we've been talking with frontier AI companies, you know, building models and building software tools and just talking about how open source, the open community is just things are advancing so much faster than they would be otherwise with everybody collaborating. Is it a similar thing in the robotics community? Why is Open Seed Studio has always been built on open? Why is that so important?

[A]

Yeah, I think very important factor is people don't know what to build to be the number one Christians. So there's, it's not a game. People are trying all kinds of diversities. It's like biology that you have all kinds of creatures, they compete with each other, they evolve with each other. Then we have the best creatures for every domain. And through open source it's not only the technology is evolving fast because people can contribute with their own talents. And also it's a trust, it's for adoption. So imagine you need to have a Hai in your home, in your factories, in your like retail stores. You want it controllable, you want to be able to modify it, you don't want to be locked away. So open source is facilitating a lot of new technologies to push to new boundaries. Instead of salesperson, we have the makers, developers, they naturally with their curiosity to try to find out what's happening and integrate into their business. This is I think by default. If you're talking about robots, that's the best way. Of course they are like closed source, the humanoids. There is like traditional companies doing this forever with very expensive ways. But I think what we are looking at is that's not everything. We at least give the possibility to everyone to create Their own physical AI for their belongings.

[C]

And open also means accessible. Accessible to all developers. And everyone can get in touch, for example physical AI and embodied AI. So. So I think open the most important thing is lower the barrier and with the open module and the customizable and also affordable and also a bunch of the tutorials that SID is keeping creating that and to help developers to get very easily to hands on these different products hardware and also the open source dev kit and also growing together with the ecosystem.

[B]

Right. I should have maybe asked you this at the beginning but who are your customers? Who are Seed's user base and what are some of the. Are there particular domains you mentioned? You know, manufacturing industry, particular domains that you sell to your products. Your robots are being used more than others.

[A]

We have millions of customers. So most of them are calling themselves makers. So it can be everyone hobbyists like students. But a lot of them are researchers and they start to understand the possibility of technology and to integrate it into their own domain. But they don't stop there, they move on. They becoming employees, they becoming startups, they becoming the project needs in big companies. So you see the like Microvision is going into every industry. So it's very hard to define who our customers. But we see the majority by number are the like students and researchers. And if we move on we see a lot of revenue or a lot of productivity are coming to small and medium businesses because previously they don't have the power to do that. Now they have all the resources and they can help each other to very fast adopting technology. And also the big companies, they have problems in innovation because the company might be too big, but they have all the trying to have their innovation apps. Innovation apps. How do you find people that can do everything in a fast pace? So the developers, the makers very naturally grow into all kinds of domains.

[B]

What's your best selling product? You sell a kit. How do you. What does. If I'm a maker and I want to get into robotics, what do you. What do I buy from Seed Studio?

[A]

So for now we I think for robotics we sold mostly is called the SO arm.

[B]

Okay.

[A]

It's a project we working with hugging face. It's an open source ARM but costing only $200.

[B]

Yes, I've seen this arm. Yeah, it's super.

[A]

It's a new generation of robots. Previously you have professional robotists to program it in a very long time, debug it, they have to maintain it. So it's going to be very expensive. So you see robots more for medical, for automotive. But the Robots are more disposable.

[B]

Yeah. $200.

[A]

$200 and the kids can use that. How about every business we can have some robots to help us. We did a lot of hackathon last year. A lot of people just using it for cooking for barbecues. So it might be like a toy to many professionals, but we have to respect the possibility underneath.

[B]

Absolutely.

[A]

If they grow up, if they think seriously, how can I use affordable robots for street business for a lot of pervasive possibilities, this is actually happening and I think that's a root, a foundation for more premium robots, premium business. And a lot of people get to learn, a lot of people get to develop this into a more mature belongings.

[C]

And customers can get all of our products at our website and we also have the global distribution channel and also we are pretty active in the developer ecosystem. Like Eric mentioned, we host hackathons and workshops in the different cities and the countries so developers can easily find us.

[B]

And how easy is it? How quickly could I, I'm not a developer, I'm fairly technical for a content person. How quickly if I got one of your arms, could I get up and running with it?

[A]

Previously you need to spend months of trainings to understand the spatial planning on the robots, how it moves.

[B]

Spatial planning. I'd need an extra couple months.

[A]

But now what you do with the robots is after the setting up, you train it like you train a dog. You teach it how to do it with holding its hand to do the operations for several times. Then you send all the data back to train on the cloud and deploy on a JSON. Jettison will use diffusion model to detect with cameras to try and find the best way to execute the projects. If it's not doing right, retrain it. So it's very organically and naturally it should be for the skilled person who is like a chef, who is a blacksmith trying to teach a robot in an organic way to make it happen. But it's not for someone else. It can be done for themselves. This is my robot. It inherits or it's my apprentice helping me to do something and it can help me on my business, but not giving away my business. It's not replacing me, it's the robot I acquired and it's going to enhance my operations.

[B]

Absolutely. Yeah. Yeah.

[A]

This is really like, I think it's a different mechanism and even different business model.

[B]

And it's the same way that we talk about, you know, screen based AI, right. That it's not replacing, it's augmenting, it's. I use AI tools all the time. They help me do things faster or better, you know, but they're not taking my job. So. Yeah, it's wild to see this coming into the physical world in sort of a bigger mainstream kind of way. It's just, it's amazing. I wanted to ask you about. You mentioned Elaine, the partnership, being an elite partner with Nvidia. Could you speak a little bit to that relationship and what it brings to the seed community?

[C]

So we started working with Nvidia back to seven years ago, starting from the Jetson Nano and then we become the Nvidia elite partner and then by making the Nvidia Jetson carrier boards and also the devices. So by this Nvidia helped us a lot. So I would say first of all, thanks for the trust. We're building up this part partnership and then becoming the partner of the Nvidia. We get a very deeply tech support and to helping us to get this hardware and the products ready to market. And secondly, I think Nvidia's all emerging technologies is pretty active in their community like Jetson AI Lab and also their forum and also their tech stack like Isaac Sim and the Groot from their SDK to the models. So we're pretty actively working together with the ecosystem to putting these emerging technologies into our devices. Make that as a solution as the tutorial or the demos. Yeah.

[B]

And can I ask you how Everybody's talking about OpenClaws? We've got a claw on the table here. How is the integration of OpenClaw onto Jetson accelerated enhanced your development process?

[C]

Yeah. So for the open cloud we have the different angle choice. So first is in application wise. So now before, as Eric mentioned previously, if you want to program a robotic application that will very complex, you'll need to program from this perception until IT control. I mean almost every part of the robots you need to hard code that. And now through the openclaw we have tried, we have installed openclaw locally on the Jetson store and also it called the local API of the model. We tried the Q1 3.5 certified billing model. And then it can do if I text on the chat box of the open claw like move up the robot arm, move down or pick up the claw and and it can directly execute the task upon that. So that is also transforming the way how we code. It's not coding anymore, it's just the texting and to control the arm. And the other way is that is for Jetson users. I think the update so updates the repositories or the update the debug, the issue inside of the JSON, that will be a time consuming thing. So if we get the Open cloud inside the Jetson and it can quickly help you debug or update the necessary thing on the Jetson. So that would be a upgrade efficiency. Yes.

[B]

Right.

[A]

And to sum up, I think it's not only just a tool. The robot arm is becoming cloud itself. It's very agentic. So the process is we connect this about two weeks ago to Open Cloud and try to ask it. We give it a wild try. Find yourself the libraries you are in sor and find your libraries, read instructions and build yourself into a physical world. Now it pulled together all the libraries and tried to plan. What do you mean by moving 20cm up? So he did all these machines and we actually give Open Cloud a physical body. Not only help you to understand the world, but help you to build the world. Help you to move the physical things around you. And the way you master it is you talking to a cloud through a message, through a WhatsApp or through a microphone array. So I think this is totally liberating the cloud. Sometimes it feels scary, you know, you just talk to it and then it start to move.

[B]

I was speaking with Harrison Chase from LangChain and we were talking about agents and this idea of giving an agent an identity, what that means. Right. And you mentioned before about, you know, putting a soul into the. Into the robots.

[A]

Exactly right.

[B]

And so does the robot arm like does it communicate to you that it now understands, oh, I have a physical embodiment. Like is it getting into that kind of thing with the identity? Exactly, yeah.

[A]

Because you can write in the cell. What's your role, what's your definitions and what are your skills? So we give it's very controllable. We don't ask you to try all the wild gestures. We just give it the actions you want with all the peripherals, with all objects on the table. That's you now you are chef. You should have us cook this egg. Now he knows. Okay, I should be following what kind of sops. But I think this is just a start is for a lot of people use Open Cloud as their personal agents. Like to be part of my job. But I think with all the robots, all the physical AI you put install Open cloud into more projects. They are actually far from you. But everybody can talk to them and they can talk to each other to collaborate. We have a new society of them. But of course we need to control them in some privileges on their authorities. But it's a different way. We can use agents and they can have their sub agents as well. You need a home assistant to manage all the staffs according to them. You maybe need AI camera to look at everybody's working and teach them. Okay, you're. You're going to the wrong way. And you can ask the AGV to feed the robot arm something. And the robot arm can operate according to you. Okay, I taught you to do this. Now it's for you to repeat it 10 times.

[B]

I'm imagining in my home an orchestrator and then a robot to feed the dog. What I really want is a closed folding robot. And I know that's very difficult with the articulations and such, but. Well, we've got these robots here.

[C]

So this is our very new release, the reboot arm. So that is also our another open source project now on GitHub. It's already hit 1.3 K stars. And so for this demo we are showing is it's doing the trajectory planning. It is showing it's very smooth, it's very stable to Compare through the ISO ARM101. Its shield is more robust. And also we have mirrored this router scene to the Nvidia RSEC sim and to the to every position and every other actuators moving. That is you can see in the ASIC sim for the simulation. Yes.

[A]

So we give it two missions for the robot. It's called a Raybot. Okay, redefine robots.

[B]

Okay, got it.

[A]

It's all agentic AI, but it has two actually now has three features. First is open source, but it can contribute. You see some of the parts they are 3D printed and we will release all the files. So people can turn this into make like a microphone holder for you to respond to you. They can according to the purposes scenarios they rebuild the robots according to their needs. And the second thing is more applied. You can see it's not designed for learning. Only people see it as feel like, okay, I want to use it.

[B]

You can do something with it.

[A]

And then upstangle is how much would it be too expensive for my like cooking for my small business? No, it's just $1,000 to start with.

[B]

This one's 1,000.

[A]

$1,000.

[C]

It will be less than $1,000 and

[A]

we plus it with JSON Nano to do the local functions. You don't need a token. You buy JSON Nano, right? Everything is running for it on it. And you can work with of course the cloud or bigger like Thor to do more complex planning. So you can have Managerial system with more hai. But this more AI will be executing the SOP accordingly. So we hope this can enable like open source applied and agentic usages.

[B]

Amazing. You mentioned obviously that we want to stay as humans in control of the system. Right. Of the robots. And when you're working with tools like OpenClaw and actually I'm wondering, can you. Yeah. OpenClaw writes skills for robots.

[A]

Sure.

[B]

It extends. It doesn't matter. It's. Yeah, exactly. So are there concerns around safety issues? Are there particular guidelines that are specific to the robotics domain when you're working with, you know, AI and thinking about AGI?

[A]

No, because we just started to use a cloud to do that.

[B]

Okay.

[A]

Yeah, still trying on the limits, but for now I think I forget this

[B]

just came out like a month ago.

[A]

Exactly. You wake up every day and okay, where are we now? The terrain has been changing too fast every day. But what we are trying to start with is we see as a robot first. So it has all the robot guidelines we should follow. And if we connect to IT system, it should be have all the controls as if it's a human being. So we apply the basic layer first, then we explore the boundaries. And we have a panic button. We can just shut it off. It's easier because you don't need to unplug your wires for laptop. You just unplug it. Should we start?

[B]

Right, yeah. So thinking kind of, I don't know, a little bit abstractly and kind of thinking ahead, you know, with, with so many people using openclaw and claw code and these agentic tools and Langsmith and creating all of these, just thousands, millions of digital creations, you know, every day being built by these agents. How do you think about applying that mentality and applying these digital creations and kind of manifesting them in the physical world through robotics?

[A]

Yeah, I think it's like following the open Cloud discussion. Open Cloud is becoming interface interlink between the digital worlds to the physical world. Now we can control robot arms, but in like a lot of details. How do you really move the parts? How do you really interact with your environment? So I think that's where ISAC SIM is coming to play. It's mirroring all the modelings and you can simulate before you acquire the robots, before you deploy them, and they get a very precise renderings afterwards. So you can have the digital twin between them and a lot of more people before they don't have the resources. I think until now we don't have one robot for everyone. So how about more people can participate first? Through the online, through the simulations. But we built more sim to rail, rail to sim bridges. And as we have more cheap, affordable robots, the sim to rail gap will be raisedly closed. Because a lot of people validating, a lot of people are improving on the controls, on the details to make them smooth and practical. And then you train the railas on these simulations and deploy in the field. They can renew organically. For most of people, they use them as if they are talking to a. A creature. Yeah, yeah. This is going to be very exciting.

[B]

It's amazing. It's amazing. So Elaine, can you talk about how open robotics, open frameworks, open models sort of help developers kind of bridge that gap bringing their ideas into the physical world through robotics?

[C]

Yeah, the first I want to point out the hugging face robot framework. So that is the transforming the way how we're building the robots. So as we mentioned, open claw galleys are very easy. You can control the robot arms through the text, the chat box. By using the robots there's a lot of researchers and engineers doing the algorithms or the hardware engineers they can get touched into their embodied AI no matter what background is because Larovalo framework they they provided a hugging face. They provided with the data sets, with the model and with also the policy and into the one set of the framework to train the robot. That is end to end learning rather than you need to code each part of the robot. Yeah, so and also I said we're focused on the hardware. So together with the robot we bring the SO arm. We also have our a reboot ARM compatible with the robot to help the developers to get easily quick started. Yeah, and also besides our hardware seed, we also provided the services, the customized services and also manufacturer services. How quickly we help the startups to get into that. For example, we work with hugging face for this rich mini. So we quickly in five months from the design to developer and manufacture that in five months we started 3,000 and 3,000 units shipped to every customer.

[B]

Amazing.

[C]

Yes.

[B]

That's so fast. So what's next? What's on Seed Studio's agenda for the year? Are there different types of robots? Are there different frameworks all in on openclaw? What can you tell us?

[A]

Yeah, I think what we created is beginning and what we offered is a reference design because we are open source company. While we ever rebuild the robots open source. So we don't have expectation that we do something everybody will just use. They will come back to us always. Can I change this a little bit for my creations I'm doing a startup Can I base on your creations and to wrap it up with my practices? Why not? So one key part of our business is we help people to scale. So we give people reference design as a framework. They do the development, they come back to us. Okay, let's change and make it into some different creations. So we hope to see more of this happening. They have more physical AI, they look at open source design, they have a problem to resolve now. They have much faster, better, easier solution. And that's where we want to facilitate. We hope we can foster and support a big fleet of open field physical AI creations. I think that will be very fast to happen in the next one or three years.

[B]

So you're able to customize the physical design of the robot to meet the customer's needs. Are you building, are you getting into, I don't know, like humanoids or quadrupeds, bipeds, that kind of thing, or is it mostly arms?

[A]

We actually doing the reverse. We as humanoids, we don't want to build one robot that do everything.

[B]

Yeah.

[A]

We don't want to build general robots, but we dissemble the humanoids, we build like the head and the torso, we build the arms and we build the wheels. So we start building more parts of the robots and then people can combine them according to their usages. So very organically they can find their practical loop flywheel of physical demands and the possible hardware.

[C]

Yeah, yeah. And also for our product line, we have a lineup of the robot compatible robots. We have arms, we have chassis, we have hands, and also desktop robots.

[B]

Oh, fantastic. Amazing.

[A]

I think very, very important trend is that we don't wait for someone to build a humanoid for us.

[B]

Right? Yeah.

[A]

Maybe we don't trust it, maybe we cannot wait, maybe it's too expensive. But now everyone can build a robot for themselves and if they have a cluster of needs, a community with similar scenarios, someone can create a business on the physical AI. I think that's more organic.

[B]

No, it's amazing. There's something about the physical world. Right. For all that we're talking and using and developing these on screen tools, seeing it embodied in the physical world just is a mind shift and it's just amazing to see. Eric, Elaine, for viewers, listeners who want to learn more, maybe they want to find out about getting some robot parts of their own. Seed studio. Is it seedstudio.com Yep. And with three Es in seed.

[A]

Yeah, especially with three E's.

[B]

Okay. And other places they can go learn more. Social media.

[A]

We are on most of the social medias, Twitter Facebook, Instagram. So just search us and you find us.

[B]

Perfect. Well, again, Eric and Elaine, this has been fascinating, and as you said, it's just the beginning. So looking around at what's on the table now makes me think what might be on the table next year. Appreciate you coming. Thank you so much for joining the podcast and obviously all the best with everything Seed's doing.

[A]

Very nice talking and proud to share what we have been doing. Thank you.

[C]

That's great. Thank you. Thank you for having us.

[B]

Our pleasure.