Satoru Gojo

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[Satoru Gojo @manabmbd11]

S = Clockwise → OFF
A = Anticlockwise → ON
আগে switch-এর বর্তমান অবস্থান দেখে direction ঠিক করতে হবে।
তারপর hand-কে appliance-এর ওপর আনো।
Switch-এর কাছে গিয়ে zoom in করো।
Switch grab করো।
Space চাপো।
এরপর প্রয়োজন অনুযায়ী S বা A দিয়ে ঘোরাও।

আর OFF করা হলে → S।

[Satoru Gojo @manabmbd11]

🤖 Axis Robotics × Binance Wallet is LIVE!

1.5M Axis Points.
30 days.
Only for Binance Keyless Wallet users. 🔥
Teach robots → Sign data on Base → Earn Points.
A separate pool. A fresh opportunity.
Time to contribute. ⚡

@axisrobotics @BinanceWallet

#AxisRobotics #PhysicalAI #BinanceWallet

[Satoru Gojo @manabmbd11]

Robots can’t learn the real world from text alone.@axisrobotics

lets anyone teleoperate simulated robots in a browser — generating high-quality training data at massive https://t.co/NJqBrqaaPv hardware.

Just you + a browser.Robot intelligence is built by all of us.Try it →

https://t.co/S1EGiWi7sX

#PhysicalAI #Robotics

[Satoru Gojo @manabmbd11]

🤖 Robotics task progress update:
📊 1,773 trajectories logged
✅ 96.7% verified
⭐ 75.1 avg score
🏆 832 points | 6/9 badges collected
Grinding on Axis 💪
#Robotics #AI #DataCollection

[Satoru Gojo @manabmbd11]

Today Just hit 200+ completed tasks on @AxisRobotics — teleoperating simulated arms, generating trajectories, helping train the next generation of physical AI.

Every pick-and-place, every trajectory — small contributions building the data backbone robots need to actually learn the physical world.

Onward 🚀 #PhysicalAI #Robotics

[Satoru Gojo @manabmbd11]

https://t.co/7IoXlolwWZ

[Satoru Gojo @manabmbd11]

@Ghost_Rifu Thanks and gaxis ✅

[Satoru Gojo @manabmbd11]

S = Clockwise → OFF
A = Anticlockwise → ON
আগে switch-এর বর্তমান অবস্থান দেখে direction ঠিক করতে হবে।
তারপর hand-কে appliance-এর ওপর আনো।
Switch-এর কাছে গিয়ে zoom in করো।
Switch grab করো।
Space চাপো।
এরপর প্রয়োজন অনুযায়ী S বা A দিয়ে ঘোরাও।

আর OFF করা হলে → S।

[Satoru Gojo @manabmbd11]

@mia132740 Gaxis bro ✅

[Satoru Gojo @manabmbd11]

@bvvvvhfg Gaxis bro ✅

[Satoru Gojo @manabmbd11]

@mia132740 @axisrobotics Impressive ✅

[LeoX @mia132740]

Most daily task loops in Web3 end up feeling like mindless button-mashing — click once, tab away, and check back later.
Trying the workflow on @AxisRobotics today felt completely different.
Instead of full automation or pure manual grind, they’ve created a shared control loop. The system handles pathfinding all the way to the target zone, hands you the controls for a quick ~8-step precision window at the objective, then takes over again for the wrap-up.
It took two or three tries to get the timing right, but once you lock into the rhythm, the handoff feels incredibly smooth.
That small moment of manual control at the critical point keeps you engaged without burning you out on the routine. If @AxisRobotics continues building on this hybrid approach, everyday community tasks could actually feel fun instead of just another chore.

[Satoru Gojo @manabmbd11]

Robotics has a data problem, not a hardware problem. @axisrobotics is fixing it by turning anyone with a browser into a robot data contributor — no hardware needed.

In 5 days, 12k+ people generated 10,000 real robot training trajectories. 100k+ contributors and counting.

**Punchier:** No robot, no problem. Axis Robotics lets you train real robots from your browser — 12k people generated 10k trajectories in just 5 days. Physical AI's data bottleneck just got crowdsourced.

**Stat-led:** 100,000+ contributors. 10,000 trajectories in 5 days. Zero hardware required. @axisrobotics is building the data engine for Physical AI — one browser tab at a time.

[Satoru Gojo @manabmbd11]

@bvvvvhfg Great idea and perfectly work ✅

[ＳＯＨＡＧ_ @bvvvvhfg]

GM GN Web3

One thing I find interesting about Axis Robotics is how much attention they’re putting into the quality of the data behind robot learning.

Not every human correction is equally useful. The recent experiments show why verified, short correction snippets can matter more than simply copying an entire human trajectory.

660 corrections were collected, but only 161 verified snippets made it into training. That focused approach pushed the average success rate from 36.7% with naive imitation to 48.3% with verified snippets.

To me, that’s a simple but important lesson: better training signals can lead to better robots.

This is the kind of progress that may not always look flashy from the outside, but it’s exactly the sort of work that can make Physical AI more capable in the real world.

Curious to see where Axis Robotics takes this next.

@axisrobotics

Join here: https://t.co/ilIGcXY3Gc

[Axis Robotics @axisrobotics]

Axis Hub Update: The Pause Button is LIVE.

✱ Click once — the button lights up and the simulation pauses between your actions. Click again to deactivate.

✱ Pre-training: when active, the simulation pauses after each move so you can think before the next. When off, the timer runs nonstop once you start.

✱ Post-training: each takeover is capped at 8 steps — and they run out fast. Pause lets you plan each move without burning through your budget.

See it in action ⬇️

Why we cap interventions at 8 steps → see the quoted thread.

[Satoru Gojo @manabmbd11]

Axis Hub update is LIVE

The new Pause Button gives you more control over every move.

✱ Pause between actions
✱ Think before your next move
✱ Save your 8-step post-training intervention budget
Small feature, big difference.
Time to train smarter, not faster.
@axisrobotics

[Satoru Gojo @manabmbd11]

🤖 Beginner Tip — AXIS Robotics

প্রথম task-এ speed-এর চেয়ে smooth & accurate movement-এ focus করো। 🎯

কম ভুল → ভালো execution → better score. ⚙️

#AxisRobotics #Robotics #AI #Automation

[Satoru Gojo @manabmbd11]

Big change coming to @axisrobotics 👀

The old regional point system is getting replaced by a new role-based system.

The grind now looks like:

⚡ X-Axis → 200+ trajectories
⚡ Y-Axis → 600+
⚡ Z-Axis → 1,000+ + nomination
🤖🔥

[Satoru Gojo @manabmbd11]

@ryugamiNFT nice

[RYUGAMI 龍神 @ryugamiNFT]

RYUGAMI IS NOW OPEN FOR ALL

Explore the mythology
Enter the world, and secure your place 🐉

WL Submission is officially live
🔗Submit: https://t.co/Mx24vnWXgX