Solutions

Robot Learning Workstations

Combine robots, teleoperation, vision and compute for research teams. Connect demonstrations, baseline training and physical evaluation in a reproducible experiment with a defined task and acceptance criteria.

Build a repeatable experiment around one task.

University laboratories, enterprise R&D teams and robotics developers

Single-arm grasping and manipulation
Bimanual collaboration and teleoperation
Mobile manipulation across workspaces

Workstation concept illustration; not a delivery photograph.

Core setup

Select Atlas A6 / A7 / D / M / S for degrees of freedom, workspace and task.
Specify cameras, end effectors, fixtures and safety equipment.
Define collection and inference compute, software environment and experiment records.

Optional modules

Tactile end effectors and paired human-side capture.
GPU compute scoped per project (our own U.S. GPU data center is under construction) and model adaptation services.
Atlas R1 open-frame research concept assessment.

What you receive

Integration manifest

Robot, camera, end effector, compute and software versions, with interfaces and responsibility boundaries.

Task samples

Teleoperation procedure, recorded fields, calibration and demonstrations within the agreed scope.

Reproducible baseline

Training configuration, data version, runtime, weights and licenses when included in the project.

Evaluation records

Fixed conditions, success rate, task duration, interventions and failure categories with raw logs.

Acceptance criteria

Accept hardware, safety functions, recording, model reproducibility and physical task results separately. Success rates must name the task, objects, starting states and trial count.