Axis Robotics
213 posts
@axisrobotics
Scale Physical AI for the real world. Robot intelligence is not built by a few; it's built by all.
Axis Beta Test Round 2 is LIVE! Thanks to your invaluable feedback from Round 1, we’ve fixed all known bugs and completely overhauled both the backend infrastructure and the frontend UI/UX for a much smoother experience. We've rolled out a fresh batch of tasks for this final stress test before our official launch.Dive in and let us know what you think!
Olaf made a special appearance on stage with NVIDIA CEO Jensen Huang at #NVIDIAGTC.☃️ NVIDIA and Disney Research are working together to bring this beloved character into the real world using Newton, the open-source physics engine.
Introducing our open-sourced simulation task generation pipeline. Repo: github.com/AxisAIOrg/Axis… The trajectory is the true atomic unit of intelligence—a digitized instance of human wisdom captured through physical execution. Our task generation pipeline serves as the engine that scales this intelligence, autonomously synthesizing the diverse environments required to distill raw human intuition into valid trajectories. Here’s how the pipeline redefines data production 🧵
Axis Product Update Cross-Simulator Retargeting & Hardware-Agnostic Playback We’ve successfully engineered backend motion retargeting in RoboVerse with seamless, high-fidelity playback in Isaac Sim. This enables direct motion transfer across entirely different embodiments. Below is a demo of our validation: We routed raw Franka motion data from web-based MuJoCo directly into Isaac Sim. In the simulation, the Franka arm executes the original source trajectory, while the Kinova arm (equipped with a Robotiq gripper) demonstrates the cross-embodiment retargeted result. Retargeting & Why It Matters Retargeting translates motion across heterogeneous robot kinematics, unlocking truly hardware-agnostic data. Imagine collecting data on a single setup and instantly repurposing it across diverse robots. From isolated data to universal execution. We are hardening the core of robotic learning.
Voyage × @axisrobotics Voyage is partnering with AXIS AI, a team building distributed scaling infrastructure for Physical AI. Their “Simulation First” engine tackles the robotics data bottleneck. In a recent 5-day sprint they generated 100k+ trajectories and validated Sim-to-Real transfer, with early pilots already running in manufacturing and AI sectors. Voyage’s GEO network will help AXIS AI strengthen how its technology shows up across AI systems. We’ll study how models like ChatGPT, Gemini, and Perplexity answer questions around Physical AI, robotics training, and Sim-to-Real, identify gaps in how the project is represented, and help structure content so the technology is easier for AI systems to understand and reference. AXIS AI is scaling the training infrastructure for Physical AI. Voyage is building the discovery and citation layer for the AI era.
