Built for change.
Teach new physical work through demonstrations instead of engineering every behavior from scratch.
- Show
- Understand
- Execute
Teach robots new work
by showing them.
Build the next generation of automation with Robotensor — powered by frontier robot intelligence.
Traditional automation works — until the work changes.
New products, objects, layouts, and workflows still trigger expensive engineering cycles.
Traditional Automation
- New Product
- Collect Data
- Retrain
- Reprogram
- Reintegrate
Robotensor
- New Product
- Show the Task
- Adapt
- Run
We're building a new automation layer where robots can learn from demonstrations and adapt as the work changes.
Automation should not have to start over every time the world changes.
Built for robustness.
Objects move. Products vary. Workspaces change. Procedures evolve.
Future automation must operate beyond one fixed environment.
Adapt across objects, positions, environments, and workflows.
Built for many.
Intelligence should not be locked to one arm, gripper, camera setup, or machine.
We're building toward foundation intelligence that can transfer across robot systems and industries.
- 01
Precise
For assembly, insertion, cable handling, tooling, and contact-rich manipulation.
- 02
Long-Horizon
From isolated robot skills to complete physical workflows.
- 03
Robust
Operate through variation, disturbances, and imperfect real-world conditions.
- 04
Responsive
Bring frontier models toward fast, closed-loop physical control.
Frontier intelligence for the work automation still struggles with.
Manufacturing
Automation that moves with production.
- High-mix assembly
- Insertion
- Kitting
- Cable handling
- Tool use
- Changing product lines
Laboratories
Automation that adapts with the procedure.
- Sample handling
- Containers
- Instrumentation
- Bench workflows
- Multi-stage procedures
Logistics
Automation built for constant variation.
- Picking
- Packing
- Sorting
- Kitting
- Mixed-SKU handling
Two model families driving the Robotensor frontier.
Robotensor
Vector
Adaptive intelligence for precise manipulation.
Built toward learning from robot demonstrations, handling variation, and transferring across robot systems.
- Adaptation
- Precision
- Robustness
- Cross-Embodiment
Robotensor
Horizon
Toward robots that learn physical work by watching.
Built around human demonstrations, World Action Models, long-horizon intelligence, and efficient inference.
- Human Video
- WAM
- Generalization
- Long Horizon
The future of automation starts at the frontier of robotics.
Robotensor researches the technologies that can redefine how robots are taught and deployed.
- In-Context Learning
- World Action Models
- Human Demonstration Learning
- Cross-Embodiment Intelligence
- WAM Inference Optimization
Vector and Horizon are continuously advanced through Attune, Robotensor's open model competition.
Building the intelligence layer for the next generation of automation.
Robotensor is building adaptive robot intelligence for a future where robots can learn new work, move across embodiments, and operate in environments that never stay completely fixed.
Our direction is simple:
Make automation more intelligent, more adaptable, and dramatically easier to change.
Latest from Robotensor
- The Infrastructure Layer for Physical AI
- The Physical AI Frontier: Closing the Gap Between Simulation and Reality
We're hiring
3 open roles
Robot foundation models, evaluation, simulation and the systems work around them.
Build the future of automation with us.
We're looking to work with robot manufacturers, industrial teams, laboratories, and automation partners pushing beyond fixed robotic systems.
- Bring the robot.
- Bring the workflow.
- Bring the problem that existing automation struggles to solve.
Let's build what comes next.