Soft robotics · Rotterdam

A gripper that wraps around food instead of squeezing it.

Kripper is a kirigami shell gripper for food production lines. One cut-and-folded sheet closes into an envelope around a tomato, a croissant or a pepper, senses how well it is holding on, and adjusts before anything slips or bruises.

Electric, no compressed airBonded sensor skinRetrofits to standard arms
Rotating-unit kirigamiθ 23° · area +38%
The driver

Food handling still runs on manual labour

Robot arms, vision and controls are now off-the-shelf. The tool at the end of the arm is what stops delicate produce from being automated.

29%

of total costs in Dutch greenhouses goes to labour, about €300,000 per company per year. [1]

~1M

seasonal workers a year keep EU horticulture running, often in physically demanding conditions. [2]

€7.8bn

EU tomato production value in 2022, 19.1% of all fresh vegetable production. [3]

1–3%

of packhouse throughput is lost to handling damage: bruising, downgrade and rejection.

Suction cups lose their seal on wet, curved or floured surfaces. Soft pneumatic fingers run open-loop at a fixed pressure. Neither knows whether it is actually holding the product.

State of the art

Where suction and soft fingers stop

Suction / vacuumSoft pneumatic fingersKripper
NeedsSmooth, dry surfaces to hold a sealProduct inside the tuned size and stiffness rangeAn object inside the shell's envelope. Size, shape and stiffness can vary.
Fails onMoist, curved, porous or floured surfacesFruit that varies outside the envelope it was tuned forDesigned for the cases on the left
InfrastructureVacuum generation, energy-hungry and noisyCompressors, air lines, valves and tubingElectric single-axis actuator, no air
SensingVacuum level, a proxy for gripLittle to no contact sensingPressure matrix, temperature and moisture at the contact surface
HygieneCup crevices are hard to cleanMembranes and folds trap residueOne monolithic sheet, no hinges or cavities
How it works

Geometry does the work

Kirigami is the Japanese craft of cutting and folding paper. In engineering, a pattern of cuts in a thin shell turns one simple input into a coordinated 3D movement, with no hinges, joints or linkages. The same principle already folds space structures and medical devices.

Envelope, not pinch

The shell closes into an envelope around the object, so it holds without a pinching force. It can also grip with its edges where an envelope does not fit.

Compliant by design

The shell deforms when it closes. It secures the grip by giving way, not by pressing harder.

Tolerant of variation

One shell covers a range of sizes, shapes, stiffness and presentation. Seasonal products do not need a tooling change.

Fewer failure modes

A single part with no moving joints. Cleanable, light and inexpensive to replace.

Vision and physical AI

Every grasp follows the same loop

  1. Pre-grasp

    Vision finds the object and sets the approach and the shell's pre-shape before contact.

  2. Closed-loop closure

    Closing force is adjusted in real time from the tactile skin, within hard force limits.

  3. Learned re-grasp

    When grip quality drops, a learned policy adjusts contact force to recover before the product slips.

  4. Outcome learning

    Each attempt is logged with object, forces and result, and the grasp policy improves from it.

Retrain, don't retool. A new crop or product family is added by training on new data. The gripper stays on the arm.

Sensor skin

It senses the grasp, not only the object

A thin flat shell makes an ideal base for sensors. The sensor stack bonds straight onto the surface, with no housings or cavities.

Pressure matrix
Where and how firmly the product is held, as a live grasp-quality score. A falling score triggers a re-grasp.
Temperature and moisture
Product temperature and surface moisture at the point of contact, a read on freshness and handling condition for produce and warm baked goods.
Production data
Every attempt is recorded as success, slip or correction, so the system learns from your line, not from a lab.
Applications

Built first for the two hardest handling jobs in food

Use case A

Fresh produce in the packhouse

Picking, re-orienting and placing individual fruit into trays. On moist, curved skin, suction seals fail and rigid jaws bruise. Validated first on tomatoes, then extended to peppers and cucumbers by retraining.

  • Grasp success≥ 95%
  • Visible bruising after handling≤ 2%
  • Cycle time, pick to place≤ 2.5 s
Pilot benchmark targets
Use case B

Baked goods into packaging

Placing rolls, buns, pastries and loaves into trays and cartons. Floured, sugared crusts will not hold a vacuum, and any clamping force marks the crumb. PPWR is moving the sector to cardboard formats that need gentle placement.

  • Grasp success≥ 95%
  • Visible surface damage≤ 2%
  • Changeover between productsconfig, not tool
Pilot benchmark targets
Roadmap

From the lab bench to a working line

Lab validation runs blocks of more than 1,000 grasp attempts against suction and soft pneumatic baselines on the same objects. The field pilots then benchmark Kripper against the incumbent tool on a real line.

  1. M1Kick-off
  2. M2Design freeze
  3. M3Functional prototype
  4. M4Lab spec validated
  5. M5Pilot 1: produce
  6. M6Pilot 2: bakeryTRL 6
Contact

Run a pilot on your line

We are looking for packhouses, bakeries and integrators who want to benchmark Kripper against their current tooling. Tell us what you handle and where it goes wrong.

Ambionic B.V. Bakkerstraat 39 A 3082 HB Rotterdam The Netherlands