Interreg CAMoRo

The demand for automation is growing strongly in sectors such as logistics, industry, and healthcare, partly due to persistent labour shortages and increasing process complexity. Interreg CAMoRo responds to this by developing collaborative autonomous mobile robots (AMRs), which communicate with each other and coordinate their actions.

In this cross-border project, knowledge institutions, technology companies, and network organisations from the Netherlands and Flanders are collaborating on a shared innovation: a platform that enables robots to no longer operate in isolation, but to collaborate efficiently within complex environments.

From standalone robots to smart collaboration
Current AMR applications often lack coordination, leading to inefficiency, congestion, and suboptimal deployment. CAMoRo develops a solution for this by:

to enable real-time communication between robots,
to support joint decision-making,
to enable robots to collaborate flexibly in dynamic environments.
Cross-sectoral practice validation
The technology is being validated in realistic applications, including:

collaboration between robots and drones,
logistics optimisation in warehouses,
safe interaction between robots and human operators,
a commitment in complex care settings.
Cross-border impact
By pooling expertise in robotics, AI, and communication technology, CAMoRo strengthens the innovative power of the Flemish-Dutch high-tech sector. The project contributes to:

higher productivity and efficiency,
better utilisation of staff,
an acceleration of the adoption of robotics within SMEs and industry. Project objectives (shortened – Interreg-proof)
The CAMoRo project's main objective is to strengthen innovation and research capacity in the Flemish-Dutch border region by developing and applying cooperative autonomous mobile robots (AMRs).

The objectives are:

Developing a reliable platform for collaborative AMRs, including communication, algorithms, and integration, focused on scalable robot cooperation.
Improving efficiency and productivity in sectors such as logistics, manufacturing, and healthcare through better coordination and task allocation between robots
Strengthening cross-border R&D and collaboration between academic institutions and businesses, with a focus on SME uptake
Validating technology in practice-oriented use cases, focusing on broad applicability and adoption across different sectors
Accelerating market introduction and scaling of robotics innovations through demonstrations, knowledge sharing, and network activation