Axis Robotics

Summary

About

About Axis Robotics

Axis generates robot environments and tasks procedurally, then runs them through a browser-based MuJoCo simulation compiled to WebAssembly. Contributors can teleoperate simulated robots without installing specialist software, producing trajectories across varied object layouts, camera positions and task conditions.

The platform also collects egocentric real-world video through mobile devices and provides processing, model training and evaluation infrastructure around the resulting datasets. A distributed beta generated more than 100,000 trajectories in five days. Axis gives physical-AI developers scalable data production and sim-to-real testing through software and distributed compute.

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Articles

Products

Funding

Investors

  • 10K Ventures - Participant - VC - 1 funding event - first seen 2026-07-27
  • Hack VC - Lead - Angel / Individual - 1 funding event - first seen 2026-07-27
  • Nomad Capital - Participant - VC - 1 funding event - first seen 2026-07-27
  • Pi Network Ventures - Participant - VC - 1 funding event - first seen 2026-07-27

Team

  • Chris Feng - Co-founder & CEO - Founder and current chief executive

Research

  • Axis Robotics releases Axis Sim Dataset V1

    2026-09-04 - Research Publication - The public release includes the dataset, training code and benchmarks for a simulated Franka Research 3 arm. Continual pretraining on V1 increased π0.5 success on LIBERO-Plus from 83.9% to 88.8%. The trajectories cover pick-and-place, stacking, pouring, articulated-object manipulation and tool use collected through Axis Hub.

    Source
  • Axis Robotics publishes the AXIS community-driven robot-learning data engine

    2026-07-23 - Research Publication - The released AXIS dataset contains 207 manipulation tasks and more than 50,000 trajectories. The system combines browser-based teleoperation with automated task generation, success checking, trajectory cleaning and visual and physics-based augmentation. Continual pretraining improved the reported overall success rate of π0.5 by 5.8% and outperformed the RoboCasa365-pretrained comparison by 37.3%.

    Source
  • Axis Task 74 sample dataset – long-horizon manipulation (kettle pouring)

    2026-04-29 - Research Publication - Sample dataset of long-horizon manipulation trajectories featuring a Franka arm performing a kettle pouring task. Includes raw and processed trajectory variants with preprocessing and structure details. Serves as a reference dataset for imitation learning and physical AI data pipeline development.

    Source
  • Axis Robotics releases AxisDataCleaning trajectory-processing toolkit

    2026-04-27 - Research Publication - The repository processes Axis teleoperation trajectories supplied as JSON or CSV, including multi-trajectory and batch inputs. Its pipeline combines static-frame merging, Savitzky-Golay smoothing and cubic-spline resampling, then reports smoothness and trajectory-deviation metrics. Offline task checkers and a benchmark script support repeatable validation of cleaned trajectories before training use.

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Timeline

Events

Relations

Relationships

  • Geely Auto Group

    Manufacturing Sim To Real Collaborator - Axis collaborated with Geely Auto Group on simulated-to-real component sorting for automotive production.

  • Booster Robotics

    Simulation Data Partner - Axis identifies Booster Robotics as its first simulation-data partner.