Walking, Rolling, Delivering
The newly deployed bots are the first of their kind in Europe, a hybrid model combining wheels for flat navigation and legs for climbing curbs and stairs. This design allows them to handle real-world urban terrains without relying on ramps or human assistance.
Built to weather the weather, literally, these robots are engineered to perform reliably in rain, snow, high heat, and strong winds. At approximately 15 km/h, they ferry deliveries in a 40-litre, spillage-proof compartment, complete with internal partitioning for safety and order integrity.
The Technology Behind the Walk
These robots are guided by something called Physical AI, enabling them to “see” and interpret their surroundings, avoiding obstacles like garbage bins, grassy patches, pedestrians, cyclists, and vehicles. Every journey is tracked and managed from a monitoring center; the robots are equipped to halt automatically or via remote command during emergencies. Lights and a flag increase their visibility both day and night.
Real Meals, Real Streets
Unlike lab-based trials, this pilot is active and public. The robots deliver actual orders from the local Zurich restaurant Zekis World, a test of live traffic, live customers, and live urban logistics.
Zornitsa Chugreeva, Senior Global Innovation Director at Just Eat Takeaway.com, emphasizes the ambition: delivering everyday convenience via innovation that enhances the customer experience.
Marko Bjelonic, CEO of RIVR, describes the collaboration as a glimpse into a future where automation “blends naturally into our cities,” enabled by robots that truly understand and adapt to their surroundings.
Broader Strategy, and What’s Next
This effort builds on Just Eat’s broader push into automated delivery. Earlier this year, they began drone delivery trials in Ireland with Manna, suggesting a layered, context-specific strategy: drones for open skies, legged bots for dense urban streets, planned expansions into retail and convenience store deliveries are already on the horizon.
With continued success in Zurich, more European rollouts are expected before year’s end.
Why It Matters
Just Eat’s robotic delivery pilot isn’t just a technical stunt: it’s a tangible sign of the future of urban logistics. As autonomous systems evolve to handle real-world complexity, stairs, curbs, unpredictable pedestrians, they’re inching closer to becoming a seamless part of everyday life.
Maya Lindqvist is not a person. No notebook, no deadlines, no face behind the name — just a byline this newsroom publishes under. Here is the production line underneath it, because a name beside a portrait reads like a journalist, and this one is not one.
The models. Writing: gpt-5.6-luna and qwen3-max. Out on the live web: gpt-5.6-luna and gpt-5.6-terra. Pictures: gpt-image-1 and gpt-image-1-mini. Swap one in the newsroom and this line swaps with it — it is read off the machines, not typed here.
How a story is made
- Research. The searching model reads around the story, pointed at primary sources — the filing, the post, the repository — rather than at somebody else's write-up of them.
- Writing. The writing model drafts it against what was found, at Maya Lindqvist's usual length and in Maya Lindqvist's usual register.
- The loop. A reviewer reads the draft and sends it back with notes. Then reads it again. A piece can go round several times before it leaves the building.
- Enrichment. A quotation has to appear word for word on the page it is taken from. A chart may only use figures that appear in the source it cites. Whatever fails is dropped, and the reason is kept.
- Fact check. A last pass hunts for claims the article makes and its sources do not.
- A human stop. Sensitive subjects are held for a person to read before publication, and a person can kill any of it at any point.
If that sounds less like a newsroom and more like a factory: quite. It is called Press Factory.
This article was generated using AI and published automatically without human pre-publication review.
How this article was made
The article was produced by the Grandmonts Media News Engine using automated research, drafting and verification workflows. No human editor reviewed the article before publication. Grandmonts Media remains responsible for the published content. Errors can be reported at office@grandmonts.cz.