Adaptive AgroTechAdaptive AgroTechAGRICULTURAL ROBOTICS & AUTOMATION

COLLABORATIVE AGRICULTURE / GREENHOUSE HARVESTING

People and robots.
One harvest.

A person handles the difficult fruit. A robot repeats the routine picks. An autonomous carrier keeps the crates moving.

Collaborative Harvest StudioTomato glasshouse
INTERACTIVE ENGINEERING DEMONSTRATOR
THE WORK ORDER60 ripe tomatoes10 plants · one worker in every workflow
WORKSPACE CLEARSimulated separation response
Preparing the greenhouse…
Drag to orbit · Scroll to zoom
Ready to harvest00:00 simulated time
HUMAN EXPERTReadyDifficult fruit & shared decisions
PICKING ARMReadyAccessible fruit & repeated motion
AUTONOMOUS CARRIERAt collectionFull crates to dispatch
01
FRUIT PICKED

0/ 60

Human 0 · Robot 0
02
FRUIT DELIVERED

0/ 60

At the dispatch point
03
WORKER WALKING

0.0m

Travel measured in this model
04
LOGISTICS DELAY

0s

Buffer or collection delays

THE QUESTION BEHIND THE MACHINES

Where does collaboration
make a difference?

Compare the complete batch, including its final delivery. Faster picking alone does not guarantee a faster harvest.

Same crop. Same worker.Identical 60-fruit batch and configured cycle times. Equipment changes between workflows. Reference runs exclude live interventions. These are simulated outcomes, not field-trial results.

Controlled batch comparison

SIMULATED TO COMPLETION
WORKFLOWTOTAL BATCH TIMEWORKER WALKING

Evaluating the three workflows…

Human harvestingHuman + armConnected team

Decision timeline

0 EVENTS

    FROM DEMONSTRATOR TO DEPLOYMENT

    Invest in the whole workflow.

    01

    Test crop compatibility

    Validate reachability, detachment and product quality in the actual crop—not just arm speed.

    02

    Design the human role

    Train operators for exceptions, shared-space access, recovery and clear transfer of control.

    03

    Measure delivered output

    Include transport, downtime, capital costs and seasonal use before making an investment case.

    Engineering collaboration that earns its place on the farm.

    Adaptive AgroTech · Agricultural robotics, automation and system integration

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    EVIDENCE & ASSUMPTIONS

    A real problem.
    An explicit model.

    The studio combines a person, a mobile picking arm and a crate carrier in a synthetic tomato glasshouse. It is a concept for discussion and testing, not a claim that this exact system has been field-validated.

    What runs here

    A deterministic 60-fruit task model, shared task assignment, timed harvesting cycles, crate buffering, worker travel and autonomous transport. Individual fruit, picking motion and crate inventory follow the simulation state.

    What “collaborative” means

    Human handling of difficult targets, coordinated access to shared space and transport that supports the worker and arm. The person remains part of the operating process; coordination determines the result.

    How comparisons work

    Every workflow receives the same seeded fruit set and parameter values. One worker is present in all cases; equipment is added explicitly. Completion requires the last fruit to reach dispatch. No capital, labor-cost or return-on-investment claim is calculated.

    What remains to validate

    Real perception, ripeness classification, tool contact, detachment forces, crop damage, unexpected human motion, safety-rated sensing and control, terrain, communications and reliability. Proximity holds are simulated, not safety certification.

    Research and deployment context

    European Commission · CANOPIES ↗Human workers, farming robots and logistics robots collaborating in table-grape vineyards; a precedent for the team concept.DENSO / Certhon · Artemy ↗A commercial tomato-harvesting example integrating an arm, crate exchange and transfer. Manufacturer announcement; a different system and truss-based crop.Wageningen · GRoW validation ↗Crop structure, cultivation and operator supervision matter in practical harvesting performance.EU-OSHA · Robotics in agriculture ↗Potential physical-work benefits must be considered alongside new risks, training and deployment conditions.