DevNews

Microduck: Open Software, Hardware Still to Evaluate

On this page
  1. What the manufacturer commits to
  2. What to examine in the software
  3. Budget for the experiment
  4. What would justify a recommendation

Microduck opens pre-orders at $399. Its press kit distinguishes open software from hardware and lists the specifications that remain provisional.

Four Microduck robots from Pollen Robotics in different colourways, each a 25 centimetre bipedal robot with a large single camera eye set in a rounded head, a coloured beak, visible servo motors in the legs, and moulded feet.
Product image supplied by Pollen Robotics. Credit and source : Pollen Robotics. Rights remain with the creator.
View full-size image

Microduck is an interesting development platform to evaluate, but a pre-order needs a different reading from a finished-product review. The distinction matters particularly for a robot: software can be updated remotely, while an unsuitable sensor or a difficult repair stays on your desk.

What the manufacturer commits to

Pollen Robotics' press kit announces introductory pre-orders at $399 before tax and shipping, with first deliveries targeted before Christmas 2026. The software stack is described as open source; the mechanical and electronic design files are not. The kit also marks camera specifications, LiDAR range and SDK languages as provisional. Delivery is a target, not an observed shipment.

What to examine in the software

Before committing a classroom or research project, open the repository linked by the manufacturer. Check that the version you will use has a licence, installation instructions and an example that connects simulation to the physical robot. An open-source label alone does not establish that every dependency, model weight or training dataset has the same licence.

Separate three tasks in your evaluation plan: controlling the existing behaviours, adding a new behaviour, and reproducing training. They require different amounts of equipment and time. Being able to drive a robot from a game controller does not establish that you can reproduce its training on your own computer.

Record which software version and simulated environment produced a behaviour before transferring it to hardware. Keep the original policy available so a failed experiment can be reversed. That gives a concrete reproducibility criterion without pretending a press demonstration is an independent benchmark.

Budget for the experiment

The price of the robot is only one line in a project budget. Add delivery, taxes, batteries or spares you actually require, and any compute used for training. For a shared lab, also account for time spent charging, resetting and repairing equipment. Those costs can matter more than a small difference in purchase price.

Ask how the robot behaves when a connection drops, a motor stalls or a policy fails. Test progressively in a clear area appropriate to the manufacturer's instructions, with a way to stop motion immediately. A successful simulation is a useful gate before hardware testing, not proof that falls or collisions are harmless.

What would justify a recommendation

Useful independent evidence would include repeatable task completion, recovery after failure, documentation quality and the availability of repair parts. We have not measured those properties on a review unit. The launch image is supplied by Pollen Robotics and credited separately from this analysis.

Microduck's appeal is the proposed path from simulation to a small physical robot. Whether it suits a specific project depends on the delivered software, hardware and support. Treat unresolved specifications as questions to settle before ordering, rather than filling the gaps with assumptions.

September 7 revision: manufacturer sources reviewed, availability clarified and practical analysis rewritten.