BlueMonkey Robotics
EN

Robotics engineering · Málaga

Robotics
as a service.

Exploring how to automate
tasks for businesses and individuals.

We are an R&D lab. We develop mobile robots, AI and cooperative systems to bring research into practical use.

Explore the model Propose a collaboration
One task. A shared goal.
Engineering concept illustration
Research and development · MálagaFrom lab to service Modularity / Cooperation / AI

International context · IFR

Service robotics in figures.

Reported sales show which tasks are already being automated. This is the industry context for our research.

Reported sales · 2025 · worldwide

Professional service robots sold in 2025, as reported by IFR.

+24 %compared with 2024
in the 2026 report.

RaaS fleet · 2024

+31 %

growth in the reported fleet.
More than 24,500 robots available.

Main applicationsUnits sold in 2025 · worldwide
  1. Transport and logistics117,488

    Moving goods and automating material flows.

  2. Hospitality55,941

    Guidance, information and assistance in public spaces.

  3. Professional cleaning44,644

    Cleaning facilities; floor cleaning is the main application in this category.

  4. Agriculture17,141

    Farm tasks, from crop cultivation to feeding animals.

  5. Inspection and maintenance6,467

    Checking the condition of facilities and infrastructure, including hard-to-reach areas.

Select a category to explore it. Cleaning is highlighted in orange as an editorial choice. The total includes other applications.

Sources: IFR 2026 · sales and IFR 2025 · RaaS fleet .

Supplier sample; not the entire market.

Sources and how to interpret the data

The 2025 sales exclude medical robots. The total of 249,568 is the sum of the six categories in the official IFR chart , including 7,887 units in other applications. Annual sales and the RaaS fleet measure different things.

IFR combines supplier surveys and public sources without extrapolating to the whole industry. Samples vary between editions: growth rates are those published in each report, not a series built by combining their totals.

IFR’s statistical definition of RaaS includes rental and leasing when the hardware remains with the supplier. This category is broader than our approach of managing an entire task.

2026 summary (PDF) · 2026 methodology (PDF) . Reviewed: 2026-10-22.

Our model · Research and development

From a real task
to a robotic service.

We start with service businesses and facility managers whose repetitive tasks take time and involve moving around a site. Depending on the application, the service could also be available to individuals.

Pay for the task, not the robot

The model we are developing is built around one-off or recurring tasks. BlueMonkey would provide the robots and handle operation, maintenance and support, reducing the customer’s initial investment.

In R&D: technical and economic feasibility is assessed for each application.

Examples of tasks we can explore

  • Cleaning and maintenanceSurfaces, facilities and outdoor spaces.

    The surface, work frequency and tools required determine which system to investigate.

  • Inspection and monitoringMonitoring spaces, inspecting facilities and tracking their condition.

    The environment and what needs to be detected guide sensor choice and the level of autonomy.

  • Mapping and observationSurveying areas, creating maps and observing the environment.

    Area size and required accuracy help determine whether one or several units make sense.

These are examples, rather than services currently on offer. We define each use case with the people who understand the need.

Discuss an application

How we develop it

From a task
to a cooperative system.

We design mechanics, electronics and software as a reusable foundation. We adapt sensors and tools to each task and investigate how several robots can tackle it together.

Simple view
Concept illustrationExplore the research
Concept illustration: robots facing a defined work area

Define the task

One goal.
A real environment.

We start with the expected result, the work area and its obstacles. This defines what the robot must do and the supervision it needs.

Autonomy is matched to the task and its operating conditions.
Concept illustration: three units and three areas with complementary routes

Share the workload

Several units.
Complementary work.

One robot can handle an area or function while another works alongside it. We study when this division helps cover more space or combine tools.

A swarm makes sense when cooperation brings a benefit.
Concept illustration: exploded sensors and computing module, observations and links between robots

Share perception

Each robot observes.
The group shares.

Sensors capture the surroundings. We investigate how AI can interpret these observations and support the robot’s decisions, and how useful information can be shared between units.

We also use AI to support design, programming and analysis.
Concept illustration: robots spread across an area with shared information and routes

Coordinate and verify

Act as part
of a group.

Coordinating routes and actions should prevent interference and move the group towards a shared goal. We weigh the benefits against the cost of communicating and processing information.

Distributed coordination is a long-term research direction.

Applied research

Project definition · October 2026

Lucy.
Our starting
point.

Our first mobile robot. We are building it from scratch through cycles of design, assembly and testing.

The name

Like the famous Australopithecus afarensis fossil, it represents a first step: ours in the project’s development.

Overall objective

Validate a reliable, reproducible robotic foundation that we can build on in future developments.

We assess performance, repeatability, maintenance and cost. Documented designs and tests guide each iteration.

The team

Engineering from Málaga.

We are Darío and Jeanpaulo, with academic backgrounds in Electronic, Robotics and Mechatronics Engineering and Artificial Intelligence. We design, program and build the prototypes ourselves.

Experience in data, AI and automation; radio frequency, telecommunications and certification.

The people behind BlueMonkey Robotics

  • Darío

  • Jeanpaulo

Contact the team

BlueMonkey Robotics Academy

Engineering is also
learnt by doing.

Robotics projects for young people aged 9 to 17. Design, build, program and test, with guidance and growing independence.

Planned: 2027–2028 school year · Teatinos, Málaga

Explore Academy (Spanish)
Illustration of learning by building a robotics project
Project-based learning

Collaboration and funding

Let’s move development forward.

We are looking for real needs, technical partners and funding to advance our R&D. We can develop a solution with your business and turn what we learn into technology that benefits both sides.

Reason for contacting us

Choose how to get in touch

Tell us about the task, the environment and the result you need. We will assess the fit and a possible joint trial.

Education enquiries: contact Academy (Spanish)