Deploy robots today.Scale autonomy tomorrow.
Connect remote operators to your robots for teleoperation, intervention, fleet supervision, and operational data capture—from first deployment through fleet scale.
Robot POV / Stereo
Assembly bay 04
Control state
Latency
42 ms
Stream
90 fps
Network
Good
Recording
On
Task progress
72%Built around the stack you already use
One layer from human control to autonomous operation.
Adamas gives robotics teams the shared infrastructure to operate now, collect what autonomy needs, and improve without rebuilding the production stack around every new robot.
Control robots naturally in XR.
Supervise every robot and operator.
Turn interaction into training data.
Move from first deployment to fleet scale.
Be there without being there.
Give operators an immersive view, natural spatial control, and the context to intervene safely—without coupling the experience to one headset or robot.
Operator station / SF-02
OpenXR session
Operator XR
Robot fleet
Improve automation where robots are already working.
When autonomy meets an edge case, Adamas routes a human operator to the robot, restores the task, and records what happened so the system can improve from real deployed conditions.
Detect
Escalate
Intervene
Recover
Capture
Improve
Every resolved exception becomes a better automation signal.
Detect → intervene → recover → improveIntegrate the ecosystem. Don't rebuild it.
Adamas sits above the tools your team already trusts, giving them one operational surface from the operator station to the edge.
Designed for NVIDIA Physical AI.
Adamas connects NVIDIA robotics infrastructure to human operators, XR hardware, fleets, and production workflows.
Designed to complement your infrastructure
Isaac Teleop
XR teleoperation + demonstrations
Isaac Sim / Lab
Simulation + robot learning
Isaac ROS
Accelerated perception + ROS 2
CloudXR
Remote XR rendering + streaming
Jetson
Edge deployment
GR00T
Foundation model workflows
One operator console for every robot.
Move humans between robots as easily as support agents move between conversations. Keep fleet state, assignments, alerts, and takeover requests in view.
12
Robots online
03
Active sessions
01
Takeover request
100%
Sessions recorded
Fleet operations
Production / West
What the human sees, does, and solves—synchronized.
Every session records a coherent history of perception, intent, execution, transitions, and outcomes—ready for review and your training pipeline.
Session AD-041 / Pick-and-place
2026-08-14 / 14:22:08 UTC
Captured channels
Intervention event
Operator corrected grasp alignment. Outcome: success.
Multimodal timeline
FRAME 18,642Your robot. Your stack. Adamas connects the pieces.
Start with one robot, one operator workflow, and one deployment target. Expand to the fleet once the operational loop works.
Get your robot running in XR.
Start with a pilot for one robot, one operator workflow, and one deployment target.