Welcome to @axisrobotics in the Philippines 🇵🇭
A place where you complete daily tasks, contribute data on @base, and help build the future of Physical AI.
Kami ay nagagalak na ibahagi sa inyo na ang $AXIS ay naisama na sa listing ng @Coinbase roadmap.
Kami ay sobrang proud bilang builders ng robotics sa @base simula nung una palang. Maraming salamat sa Base Network at @baseAPAC sa inyong suporta hanggang ngayon!
Excited na sa paglaganap ng Physical AI kasama ang CoinBase.
Special thanks to @0xbossj and @Papzzzicle! Huge thanks to the core PH contributors who keep showing up and leveling each other up.
Even without newbies in the room, sessions like this strengthen the people who have been here from the start and to all the ones who believe in the mission of building Physical AI through real contribution, not just waiting for the next reward update.
Every clean trajectory, every shared tip, every hour spent helping others still compounds. Let’s keep building while the system evolves. The work we do now is what makes the whole engine stronger for everyone.
Thank you @drag4_t for dropping by to join the happy Filipinos enjoying the trajectories. We also celebrate and congratulate you stepping up to be the New Region Lead of @axisrobotics India @axisroboticsin_
LFG Philippines! 🦾🇵🇭
Cc: @plpiaoliang@irisle_growth
AXIS SIM TRAINING LIVE
Join us for @AxisRobotics Philippines’ Sim Training session live on Discord.
Whether you’re new to simulation or looking to level up, this is your chance to learn, ask questions, and see the tools in action.
Here are the pointers that we will perform later:
👉Accessing tasks & understanding the lifecycle.
✅The Pre-Training and The Post-Training
✅Robot simulation basics + controls
Workflow, scoring, submission & troubleshooting
👉Two items to train (hands-on)
1. Basic Pre-training task (start with 1-star Pick/Place or Object Placement)
Practice clean grasp → transport → precise place, using double-click + fine adjustments, checkpoints, and smooth motion for better quality score.
2. Wheeled Franka task
Practice coordinating wheeled base movement with the arm (forward/back, steering, height, rotation). Focus on efficient paths, combination key tricks, and completing the full sequence without unnecessary corrections.
The 30 Contributors who committed in the Philippines will be there too!
When: November 12, 2026 • 9:00 PM (21:00) PHT
Where: Discord - @axisroboticsph Voice Chat
https://t.co/fL7sSdxN9Q
See you there. @imbananagreg@Papzzzicle@0xbossj
Since the Season 1 Airdrop finished, their token still maintains its price. 🤖
Congratulations to the @axisrobotics team and community on a successful campaign!
I might be late to the party, but I'm here now and ready to join the journey for Season 2.
Let's go!
AXIS SIM TRAINING LIVE
Join us for @AxisRobotics Philippines’ Sim Training session live on Discord.
Whether you’re new to simulation or looking to level up, this is your chance to learn, ask questions, and see the tools in action.
Here are the pointers that we will perform later:
👉Accessing tasks & understanding the lifecycle.
✅The Pre-Training and The Post-Training
✅Robot simulation basics + controls
Workflow, scoring, submission & troubleshooting
👉Two items to train (hands-on)
1. Basic Pre-training task (start with 1-star Pick/Place or Object Placement)
Practice clean grasp → transport → precise place, using double-click + fine adjustments, checkpoints, and smooth motion for better quality score.
2. Wheeled Franka task
Practice coordinating wheeled base movement with the arm (forward/back, steering, height, rotation). Focus on efficient paths, combination key tricks, and completing the full sequence without unnecessary corrections.
The 30 Contributors who committed in the Philippines will be there too!
When: November 12, 2026 • 9:00 PM (21:00) PHT
Where: Discord - @axisroboticsph Voice Chat
https://t.co/fL7sSdxN9Q
See you there. @imbananagreg@Papzzzicle@0xbossj
Translation to Tagalog - The Filipino Language of @AxisRobotics Events Highlight this October for the @axisroboticsph community. https://t.co/1dmPCPgtbH
Can a robot learn better from less? @axisrobotics, a Pi Network Ventures-backed startup (@PiCoreTeam), picked the right half of its simulation data and saw real-robot success hit 86%, up from 26% ⬇️
https://t.co/cWjbqF6r0a
Training a robot on another 100 hours of data is guesswork if you don't know what's going wrong.
🔹 @axisrobotics uses model feedback to spot the gaps.
🔸 Sometimes, just 1 hour of targeted data can address them.
@0xsexybanana, Co-Founder, explains the data-to-model feedback loop.
Ginagamit namin ang ODE Policy para sa visual policy distillation, at nagpapakita na ito ng napakagandang mga paunang resulta. Sa pamamagitan ng pag-aaral kung paano nagbabago at umuunlad ang mga kilos sa paglipas ng panahon, nagkakaroon ang polisiya ng mas natural na paraan upang maunawaan at magaya ang tuloy-tuloy na galaw ng isang robot.
Sa video, matutunghayan kung paano natututo ang aming Franka robot na maingat na ikabit ang isang nut sa bolt sa loob ng simulation environment, na matagumpay na naisasagawa ang gawain batay sa task mula sa SGS.
Sa susunod na yugto, plano naming gamitin ang ODE Policy upang ma-distill ang mas malawak na hanay ng mga assembly skills sa mga polisiyang kumikilos gamit lamang ang camera images. Kabilang dito ang mga kumplikadong gawain tulad ng pag-fit ng mga gear, pagpasok ng mga peg sa tamang pwesto, hanggang sa maayos na pagdugtong ng iba't ibang connectors.
Ito ay isa pang hakbang tungo sa pagbuo ng mga robot na mas mahusay matuto, mas madaling mag-adapt, at mas epektibong makapagsagawa ng mga gawain sa totoong mundo.
Follow @axisrobotics for more.
We’ve been using ODE Policy for visual policy distillation, with strong early results. Learning how actions evolve over time gives the policy a natural way to capture the continuity of robot motion.
In the video, our Franka robot learns to thread a nut onto a bolt in simulation, reproducing the task from SGS.
Next, we plan to use ODE Policy to distill a wider range of assembly skills into policies that act from camera images, from fitting gears and inserting pegs to joining connectors.
Last 24h on @base
Is anyone else surprised by which names held attention all day in transactions and which didn't?
🟦 Top Gainers
$CDXR @codex_hosting +8632.0%
$Reboot +3044.0%
$Paper +355.0%
$CLANKER @clankeronbase +31.7%
$RSGP @playcambria +19.8%
🟦 Most Transactions
base:0x07b3d902783c3c12b077508c3b5c00113d1291d0 @doppler_fi 68,178
base:0x5be75e3b0aff5d1a042a5363ae36acb1d6d755ea @axisrobotics 63,715
$AERO @aerodromefi 54,209
$SOL @solana 44,497
$VVV @AskVenice 32,915
🟦 Highest FDV
$VVV @AskVenice $1.98B
$AERO @aerodromefi $1.29B
$VIRTUAL @virtuals_io $592.79M
$CHIP @USDai_Official $418.44M
$POD @dphnAI $244.65M
Follow @base_rss to not miss the latest trends on base!
After that massive dump, $AXIS is finally showing some signs of recovery.
Dari $0.118 sekarang udah balik ke area $0.14. Good to see some buying pressure coming back.
But one thing is clear: price recovery is one thing, rebuilding market trust is another.
Hopefully the team can deliver on both.
@Collector_Crypt@nillion ★★ Axis Token ($AXIS) · Base @axisrobotics
- Why: Flagged by 2 independent channels within 24h; Liquidity $2.45M at signal time
- Seen in: On-Chain Volume Leaders, Wallet Trends
- Details: https://t.co/fROsOetikA
The first tranche of the base:0x5be75e3b0aff5d1a042a5363ae36acb1d6d755ea BUYBACK is now complete. Credit where it's due, the team stayed true to their word.
That's the first box ticked ✅on my three-point checklist. Two more to go.
Mahalagang anunsyo:
Inihahayag ang base:0x5be75e3b0aff5d1a042a5363ae36acb1d6d755ea Token Buyback
Ang aming data engine ay nagpapagana ng mga aplikasyon ng Physical AI sa iba't ibang tunay na sitwasyon sa mundo. Nais naming matiyak na ang bawat contributor ay direktang makikinabang sa paglago nito.
Kaya naman inilulunsad namin ang base:0x5be75e3b0aff5d1a042a5363ae36acb1d6d755ea token buyback, kung saan ang unang tranche na nagkakahalaga ng $150,000 ay matagumpay nang naisakatuparan.
1. Ang aming mga commercial deal ay sumusunod sa isang pilot-first model. Ang mga framework agreement ay pinipirmahan lamang kapag matagumpay na natapos ang pilot project, at ang mga bayad ay inilalabas nang paunti-unti batay sa mga natatamong milestone.
2. Simula ngayon, isang bahagi ng netong kita mula sa aming mga commercial contract ang ilalaan para sa pagbili muli ng base:0x5be75e3b0aff5d1a042a5363ae36acb1d6d755ea habang natatanggap ang mga bayad mula sa mga kliyente.
Maglalabas ng pampublikong ulat ng buyback kada quarter, kasama ang mga on-chain treasury records na maaaring suriin at beripikahin ng sinuman. Ang lahat ng mabibiling muli na base:0x5be75e3b0aff5d1a042a5363ae36acb1d6d755ea ay ililipat sa pampublikong treasury para sa buong komunidad.
Treasury Address:
0xfC8c6ABC0742E64c13d6B0bAC1fCD7e604eC7Dc5
🇵🇭 Isa itong mahalagang hakbang upang mas direktang maibahagi sa mga contributor ang halaga na nalilikha ng Axis Robotics ecosystem. Habang lumalawak ang paggamit ng Physical AI, mas lumalakas din ang koneksyon ng tagumpay ng platform sa komunidad na tumutulong bumuo nito.
Tingnan ang buong detalye sa blog na ito:
https://t.co/Kf8ZgFIy4r
Announcing the $AXIS Token Buyback
Our data engine is powering Physical AI applications across real-world scenarios. We want every contributor to share directly in it.
We're launching the $AXIS token buyback, with our first $150K tranche already complete.
1. Our commercial deals follow a pilot-first model. Framework agreements are signed only after a successful pilot, and payments are released in tranches against delivery milestones.
2. Going forward, a portion of the net profit from our commercial contracts is allocated to buy back $AXIS as cash is collected.
A public buyback report is published each quarter, with on-chain treasury records anyone can independently verify. All repurchased $AXIS is transferred to the public treasury.
Treasury address: 0xfC8c6ABC0742E64c13d6B0bAC1fCD7e604eC7Dc5
See the full details: https://t.co/KAyQjNpejA