Stanley Robotics
Robotic valet parking and car logistics for airports and yards, powered by autonomous outdoor robots.
NewName Editorial
Editorial Team


Most automation stories begin in a warehouse. Aisles are predictable, floors are flat, and the environment is controlled. Stanley Robotics is trying to write a different chapter: one that starts on an airport tarmac, where rain falls, cars arrive at random, and the only constant is that passengers are in a hurry.
The company, founded in 2015 and headquartered in Paris, has built a system that moves cars outdoors without a driver behind the wheel. Its robots—named Stan—lift and shuttle vehicles in valet parking lots and car logistics compounds. The most visible deployment is at London Gatwick, where the service has been running for years. But the company's ambition is broader than helping travelers skip a parking aisle. It wants to become the operational backbone for outdoor vehicle logistics, a space that has largely resisted the kind of automation that transformed indoor warehousing.
The robot that parks your car while you catch a flight
The core unit is Stan, an autonomous mobile robot that can slide under a car, lift it, and carry it to a designated spot. It is not a self-driving car; it does not need to navigate roads or obey traffic lights. Instead, it operates in a confined, controlled area—a parking lot or a storage yard—where the rules are set by the operator. This distinction matters. By limiting the problem to a known perimeter, Stanley Robotics avoids the regulatory and technical chaos of public roads. The robot's job is simple: pick up a vehicle, move it, drop it off. The complexity lives elsewhere.
At Gatwick, the service is marketed as a premium valet experience. Passengers drive to a designated drop-off zone, leave their keys, and walk to the terminal. A robot takes over from there. The car is scanned, measured, and lifted onto the robot's platform, then driven to a parking slot that the software has assigned. When the passenger returns, the process reverses. The robot retrieves the car and brings it back to a pickup area. The human interaction is minimal, which is the point.
From warehouse floors to airport tarmacs: the outdoor shift
The warehouse is the natural habitat of mobile robotics. Companies like Amazon and Kiva proved that hundreds of small robots can reorganize inventory faster than humans with forklifts. But warehouses are controlled environments. The floor is level, lighting is consistent, and the tasks are repetitive. Outdoor logistics is a different beast. Weather, uneven surfaces, and unpredictable human behavior all conspire against automation.
Stanley Robotics' pitch is that the same productivity gains that robotics brought to indoor logistics can be replicated outdoors. The company's website explicitly frames this as its mission: "Robotics has transformed indoor logistics (e.g., in warehouses), resulting in a spectacular increase of productivity. Stanley Robotics' ambition is to bring this transformation to outdoor logistics." That is not a modest goal. It means dealing with rain, frost, and the occasional stray shopping cart. It means building robots that can operate 24/7 without a human supervisor. And it means convincing airport operators and car logistics companies that the technology is reliable enough to trust with their customers' vehicles.
Stan and the software that runs the show
Stan is the visible part of the system, but the company's website emphasizes that the "technology lies in a robot lifting and moving cars autonomously and in an intelligent storage management software." The robot is a physical actor; the software is the brain. It decides where each car goes, when to move it, and how to optimize the layout of the storage area. This is where the real value is created.
In a traditional parking lot, a human driver parks a car wherever there is space, which often means inefficient use of the area. Stanley Robotics' software can pack cars more densely because it knows the exact dimensions of each vehicle and can plan the optimal arrangement. It can also shuffle cars around as needed, something a human valet would never do because it would take too long. This orchestration layer is what turns a parking lot into a logistics system.
The company also mentions that Stan was inspired by Star Wars' astromech droids and self-driving cars. That is a charming detail, but the more relevant lineage is the autonomous mobile robot (AMR) industry, where software has always been the differentiator. Stanley Robotics is not the first to build a robot that can lift a car; it is trying to be the first to build the software that makes that robot economically useful at scale.
Two industries, one orchestration problem
Stanley Robotics targets two verticals. The first is valet parking at airports, where the value proposition is customer experience and capacity. The second is car logistics, where the value proposition is operational efficiency. These seem like different businesses, but they share a common core: managing the movement and storage of vehicles in an outdoor environment.
In car logistics, the company works with logistics service providers like GEFCO and TRAMOSA. These companies move finished vehicles from factories to distribution centers, often storing them in large outdoor compounds before shipping them to dealers. The current process is manual: drivers move cars from one spot to another, and tracking is often done with paper or spreadsheets. Stanley Robotics offers a way to automate the yard, using robots to move cars and software to track their location and status. The company's website highlights a deployment in Canada for finished vehicle logistics, suggesting the technology is moving beyond airports.
In valet parking, the pitch is different. Airports like Gatwick and Lyon Aéroport are interested in increasing parking capacity without building new structures. A robot can park cars closer together than a human can, because it does not need to open doors or leave space for a driver to exit. This can increase the number of cars in a given area by 30% or more, depending on the layout. For airports, that is a direct revenue opportunity.
What a deployment actually looks like
Stanley Robotics does not sell a box; it sells a system. The company's website describes a working process that moves from digitalization to automation to robotization. This suggests that a typical deployment starts with an audit of the existing facility, followed by the installation of the robot and software, and then a period of testing and optimization.
The company also emphasizes that "every client is different," which is a polite way of saying that the technology must be adapted to each site. An airport parking lot has different constraints than a car logistics compound. The robot must be able to handle different vehicle types, from compact cars to SUVs, and the software must be configured to match the operator's workflow. This is not a plug-and-play product; it is a custom solution.
One of the key challenges is integration with existing infrastructure. Airports have security protocols, and car logistics yards have their own systems for tracking vehicles. Stanley Robotics must work within those constraints, which means the deployment timeline can be long. The company does not disclose specific project timelines or costs, but the nature of the technology suggests that these are multi-million-dollar projects with significant engineering effort.
The capacity math that makes or breaks the business case
The economic case for Stanley Robotics depends on a simple equation: the cost of the robot and software versus the value of the additional capacity and labor savings. In a parking lot, the value is clear: more cars in the same footprint means more revenue. In a car logistics yard, the value is less obvious but potentially larger: fewer manual drivers, fewer damaged vehicles, and better inventory accuracy.
The company does not publish pricing or ROI figures, so it is difficult to assess the business case from the outside. But the fact that Gatwick and Lyon Aéroport have deployed the technology suggests that the math works for at least some operators. The partnership with Mitsubishi Heavy Industries is another signal. Mitsubishi is a major industrial player, and its involvement could help Stanley Robotics scale beyond airports and into other outdoor logistics applications.
Ultimately, Stanley Robotics is betting that the outdoor logistics market is ready for the same kind of automation that transformed warehouses. The technology is proven in controlled environments; the question is whether it can hold up in the messy, unpredictable world of airport tarmacs and car compounds. The company's early deployments suggest that it can, but the real test will be whether it can convince more operators to make the switch.