Ryan Chan

690 posts

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Ryan Chan

Ryan Chan

@Ryan_Resolution

Making robotics fun and intuitive to build with. CEO @ MakerMods https://t.co/iqxjzOSRlB

San Francisco, CA Se unió Mayıs 2019
1K Siguiendo2K Seguidores
Tweet fijado
Ryan Chan
Ryan Chan@Ryan_Resolution·
Launching MakerMods Metal Arm. Finally ready to reveal the robot arm we've been building. Full CNC metal arm. 6-DoF, 3kg payload, gravity compensation leader arm. Limited supply launch price $2,499. pre-orders open now $99 deposit👇 @IsaacSin12 @makermodsai
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Ryan Chan
Ryan Chan@Ryan_Resolution·
@theonlyAyo bro you need to try the MakerMods Metal Arms
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Ayo
Ayo@theonlyAyo·
Fun week ahead 🦾 Also, no one warns you about how much laundry you're going to have to do when you have a baby. Hopefully this setup can help.
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Ryan Chan retuiteado
Grace Zhang
Grace Zhang@GZinMetaverse·
For the past 3 months, I've been heads down building and extending our multimodal data capture rig for Physical AI training. What you're seeing here is a single synchronized capture from our system — RGB, depth (stereo IR camera) feed; real-time 3D hand reconstruction, and a 23×20 tactile pressure grid from sensor gloves, all aligned and timestamped together. Getting here took a lot of unglamorous iteration. We reworked the pipeline to deliver clean, gap-free depth at scale after identifying early depth frame drops caused by data throughput bottlenecks in our capture box. We built per-channel calibration models that convert raw resistance signals from our flex sensor gloves into accurate, drift-corrected force values — solving the creep behavior that made a steady grip falsely appear to fade over time. Even though we’ve stayed quiet on socials, word of mouth spread — our rigs have already been deployed in data factories, manufacturing lines, and homes across the US, Europe, China, and Southeast Asia by our customers and ourselves. In the next few days, I'll be sharing more about how we're tackling rights-cleared data capture from the hardware level, and our closed-loop data-model flywheel — using model evaluation results to identify gaps and guide what data our customers need. More soon, stay tuned…
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seanpixel 🫧
seanpixel 🫧@sean_pixel·
this is the hard part of the robotics deployment that no one tells you about our raspberry pi SD card fucking snapped in half
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Ryan Chan
Ryan Chan@Ryan_Resolution·
@theonlyAyo No better way to learn how to build XLeRobot
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Nikhil Kumar
Nikhil Kumar@nikhilkr·
A small milestone at @GoDrift_ai this week - we received a new robot arm from @makermodsai and had it executing tasks within hours of opening the box. Two things made that possible: > Makermods built hardware that's genuinely easy to assemble. It's rare in this space and worth calling out > Drift is designed so that new hardware becomes useful immediately and not after weeks of integration We'll be running this arm on real-world tasks over the coming weeks and sharing what we learn, the good, the broken and the surprising. Stay tuned!
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Ryan Chan
Ryan Chan@Ryan_Resolution·
@nikhilkr @makermodsai It was a mad rush on our side to ship the arms over. And @GoDrift_ai executed this in record speed. Really impressed by this, looking forward to partnering up together to make more breakthroughs
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Ryan Chan retuiteado
Ayo
Ayo@theonlyAyo·
Introducing Kits by Tnkr 📦 The fastest way to clone a robot. For Maintainers: distribute your project, BOM to kit in one click. For Builders: everything you need to build it, in one box. tnkr.ai
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Ed Henderson
Ed Henderson@ed0henderson·
Finally you beautiful tool.
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Ryan Chan
Ryan Chan@Ryan_Resolution·
@TheHumanoidHub Come check out what we are building at MakerMods shenzhen office
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The Humanoid Hub
The Humanoid Hub@TheHumanoidHub·
I'll be on the ground in China for the next 17 days to get a firsthand look at the industrial explosion in humanoid robotics. The plan is to visit Hong Kong, Shenzhen, Zhejiang, Hangzhou, Shanghai, and Beijing. If you're building humanoids or embodied AI and would like to meet, I'd love to. DMs are open. Landed in Hong Kong yesterday; it's beautiful.
The Humanoid Hub tweet media
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Ryan Chan
Ryan Chan@Ryan_Resolution·
@earthtojake this is amazing, even if it is for a video game or cgi movie asset
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Jake Fitzgerald
Jake Fitzgerald@earthtojake·
asked claude fable 5 to design a humanoid robot 2 hours and 1.4m tokens later, i got this absolutely insane
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Ali A
Ali A@maciint0sh·
I accidentally built Doc Ock’s arms
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Ryan Chan retuiteado
Raúl Romero
Raúl Romero@Raul_RomeroM·
Robotics teams run VLA training overnight and wake up to crashed runs. They burn days testing different models to see which one fits. Today we are launching training Runs in Kite ML (@trainrobotsfast): test hundreds of dataset + model combos in parallel in the cloud, watch the loss curves, deploy the winner. Easier. Faster.
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Prof Adebayo
Prof Adebayo@ProfAdebay·
@BetterCallMedhi c'mon, stop discouraging sf bro who's currently thinking of pivoting to hardware😂
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Mehdi (e/λ)
Mehdi (e/λ)@BetterCallMedhi·
a sf tech bro who just pivoted to hardware is competing against a kid from shenzhen who reballed his first chip before he lost his first tooth sit down
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Shengkun
Shengkun@shengkun_ye·
just realized i paid for hinge with my company card do i start hiring interns there now
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Binh Pham
Binh Pham@pham_blnh·
this + graspnet + a vlm + motion planning will probably beat any public vla on the task they are normally benchmarked on still a long way to go
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