Approach
Complete one operation. Learn from every pass.
GroundMind is not trying to automate an entire farm at once. We select one repetitive workflow, perform it inside a defined operating envelope, escalate uncertain cases, verify the result and use that evidence to improve the next field pass.
How it works
- 01Observe
Understand the target and its local context.
- 02Act
Perform bounded work inside tested limits.
- 03Verify
Record completed, skipped and handed-off cases.
- 04Improve
Turn verified outcomes into better capability.
When uncertainPause · skip · ask a person
A deliberate safety branch—and a labelled learning signal.
Learning infrastructure
From teleoperation to tested task policies.
We are developing this learning loop for agricultural work.
- 01
Teleop data collection
Record human demonstrations, interventions and task outcomes.
- 02
Curate episodes
Review, label and separate training and evaluation episodes.
- 03
Train task policy
Train a task policy using curated examples.
- 04
Evaluate task
Test task quality, crop safety and human time required.
Evaluation identifies data gaps → targeted new demonstrations and interventions.