YOUR PHYSICAL AI PARTNER
PHYSICAL AI RESEARCH PLATFORMS:
Hardware and Software Built for Advanced Robot Learning
YOUR PHYSICAL AI PARTNER
PHYSICAL AI RESEARCH PLATFORMS:
Hardware and Software Built for Advanced Robot Learning
WHY RESEARCHERS STANDARDIZE ON TROSSEN
TRUSTED WHERE RESEARCH ACTUALLY HAPPENS
Born from ALOHA.
Trossen hardware was the original physical platform behind Stanford's ALOHA project, the system that made low-cost bimanual imitation learning something any lab could actually run.
That same hardware is training vision-language-action models at Google DeepMind and inside GR00T 2.0 today.
Build on hardware the field already recognizes. From ALOHA to DeepMind to GR00T 2.0, your work sits next to research the community already trusts.
TIME IS THE MOST VALUABLE RESOURCE
Stop building rigs. Start building tools & writing models.
You spend research time building and fixing hardware instead of writing models. Every week lost to hardware is a week your funding clock is still running, while your publication timeline isn't.
THE FULL STACK
Hardware, SDK, and Cloud.
One connected system.
Buy hardware alone and you're stuck building your own data and training pipeline on top of it, writing custom drivers just to log a joint state or sync a camera frame. The Trossen SDK handles that entire loop, so every step already works together.
It's open-source with Python bindings. Recordings save with high-resolution timestamps, so your robot and camera data can be synchronized into a training-ready dataset after collection.
Want that same workflow managed at scale instead of run yourself? Trossen Cloud extends the stack with supported storage, visualization, and review, currently available as an invite-only pilot.
WE'RE HERE WHEN YOUR RIG ISN'T.
24-Hour Support.
A broken part on custom hardware usually means weeks waiting on a machine shop. A single stripped gear can stall a multi-month grant milestone while you wait.
Trossen hardware is built for field-replaceable parts and cable swaps in minutes. We stock the parts, and our team is reachable by email, support ticket, or a shared Slack channel, with video calls when something needs a closer look. We reply within 24 business hours.
Every arm carries a one-year limited warranty and lifetime product support, with replacement parts and RMA-based repair when you need it.
MORE REASONS RESEARCHERS STANDARDIZE TROSSEN
Reproducible hardware makes your results verifiable.
Standardized Trossen hardware means another robot learning lab can run your exact setup and verify your work. Workbench and Rivet are built for coordinated two-arm physical AI tasks, not just pick-and-place, so your research question doesn't have to shrink to fit what a custom rig can survive.
Standard hardware keeps open-source tools working out of the box.
Trossen's SDK is built against this robot arm hardware directly, with Python bindings, so tools you write against it already work with what you have. No rewriting compatibility layers for joint angles or encoder rates before you can start collecting data.
High-resolution timestamps make your data synchronizable, not just recorded.
The Trossen Data Collection SDK records robot and camera data with high-resolution timestamps, so those streams can be accurately synchronized into a training-ready dataset after collection, instead of drifting apart and becoming unusable.
A fixed setup keeps your geometry from drifting between sessions.
Workbench's fixed mounting plate keeps robot arm and camera geometry in place, so your data collection setup doesn't drift every time the research lab gets used by a different person or project.
One SDK across every embodiment, so scaling up doesn't mean starting over.
Standalone WidowX arms, Workbench, and Rivet all run the same Trossen SDK, so scaling a robot learning research program from a single station to a mobile physical embodiment doesn't mean starting the data pipeline over.
Same software across every WidowX arm variation.
Our different WidowX arm variations, from lighter-duty to higher-payload, share the same controller, software, and workflows, so moving up to a bigger arm later doesn't mean rebuilding your research setup. Workbench and Rivet also support mixed-arm pairs, so you're not locked into matching arms across your whole setup.