Double-Click Auto-Navigate & Save/Rewind are LIVE! Following last week's click-and-drag gripper control, here's what's new: Double-click any object and the nearest arm automatically moves into position. - Each movement is randomized, so every approach adds training diversity. - Works for both single-arm and dual-arm tasks. We also shipped Save & Rewind. - Press N to save a checkpoint at any critical moment during a task. The checkpoint indicator in the top-right corner will light up to confirm. - Press B to instantly roll back to your saved state if anything goes wrong. That means you can now drag arms into place, double-click to auto-navigate to any object, and save checkpoints on the fly — all directly from your browser. Smoothest simulation teleop UX, only on Axis. Try it out now!

Axis Weekly This week we focused on making browser-based robot control smoother, preparing longer-horizon articulated-object tasks, and tightening the path from task data to trained and evaluated policies. The main theme was improving the robotics loop end to end: interaction, replay, verification, training, and evaluation all moved toward workflows that are easier to inspect, reproduce, and explain. Key updates: - Teleoperation: End-effector dragging was rebuilt with smoother joint-space interpolation, reducing arrival jitter and raising the effective control frequency while dragging. - Long-horizon tasks: The task set expanded toward multi-step articulated-object demos, including tasks with hinged or movable objects and four to five meaningful action steps. - Policy release loop: The policy workflow became more explicit by connecting task IDs, model paths, evaluation outputs, success-rate summaries, and visual diagnostics. - Multi-embodiment dataset: We validated dataset generation across multiple robot embodiments, moving toward shared task definitions, rendering, and evaluation surfaces. A closer look at this week’s progress 🧵

Napakagandang araw. Napakagandang komunidad. 🇵🇭 Ang kauna-unahang Axis Robotics Philippines Community Meetup ay hindi lang basta isang event ito ang simula ng isang mas malaking komunidad na Sama samang naniniwala sa kinabukasan ng Physical AI. Pagkabukas pa lang ng venue, ramdam na agad ang mataas na enerhiya ng mahigit 50 attendees. Ang mga dating hindi magkakakilala ay naging magkakampi, ang mga magkakampi ay naging magkakaibigan, at iisa ang layunin ng lahat ang maging bahagi sa pagbuo ng hinaharap ng Physical AI. Maraming salamat sa ating CMO, @0xsexybanana , sa pagbabahagi ng mga pinakabagong updates tungkol sa Axis at sa pagbibigay ng malinaw na pananaw sa mga susunod na hakbang ng proyekto. Malaking pasasalamat din kina @cryptitaplays , @jcdtorre14 , @masterkamote_, at @yggpilipinas sa pagbabahagi ng kanilang kaalaman, karanasan, at mga ideyang nagbigay ng mas makabuluhang talakayan sa buong komunidad. Isa sa mga pinaka highlight ng meetup ay ang PvP Robot Simulation Battles. Masayang makita ang lahat na nagsisigawan, nagtatawanan, at nagtutulungan habang pinapanood ang bawat laban. Bawat panalo ay sabay-sabay na ipinagdiriwang, at bawat isa ay handang tumulong para mas maunawaan at mas ma-enjoy ang simulation. Doon namin muling napatunayan na ang Axis ay hindi lang tungkol sa pag train ng mga robot. Ito ay tungkol sa pagbuo ng isang komunidad ng mga taong nagtutulungan upang hubugin ang kinabukasan ng Robotics isang task, isang kontribusyon, at isang hakbang sa bawat pagkakataon. Sa lahat ng dumalo, nakilahok, nagtanong, nagbahagi ng kanilang mga ideya, at nagdala ng napakagandang enerhiya sa event maraming maraming salamat. Kayo ang dahilan kung bakit naging tunay na espesyal at hindi malilimutan ang meetup na ito. Unang meetup pa lamang ito, pero malinaw na mas malaki na ang nabuo natin kaysa sa isang simpleng event. Nakabuo tayo ng isang tunay na komunidad. Magkita-kita tayong muli sa susunod na Axis Robotics Philippines Community Meetup. Nagsisimula pa lamang ang ating paglalakbay sa mundo ng Physical AI. 🚀🇵🇭 #AxisRobotics #AxisRoboticsPH