SciTransfer
Organization

UAV AUTOSYSTEMS HOVERING SOLUTIONS ESPANA SL

Spanish drone SME building autonomous UAV systems for GPS-denied environments and swarm coordination for industrial cyber-physical applications.

Technology SMEdigitalESSMEThin data (2/5)
H2020 projects
2
As coordinator
1
Total EC funding
€279K
Unique partners
13
What they do

Their core work

UAV Autosystems Hovering Solutions is a Madrid-based SME building autonomous drone technology for environments where GPS signals fail — underground tunnels, mines, and other GNSS-denied spaces where conventional drones cannot operate. Their early work centered on using autonomous flying robots to create 3D maps of underground infrastructure, solving a real inspection problem for industries that maintain buried or subterranean assets. They subsequently expanded into swarm robotics and cyber-physical systems of systems, contributing to frameworks that coordinate multiple autonomous agents using fog computing, AI, and the industrial automation standard IEC61499. In practical terms, they bring both the application know-how of drone deployment in hostile environments and the system architecture skills needed to orchestrate drone fleets at scale.

Core expertise

What they specialise in

Autonomous UAV navigation in GNSS-denied environmentsprimary
1 project

AutoFlyMap (2019) was coordinator-led and explicitly targeted autonomous flying robots in GPS-denied spaces for underground infrastructure mapping.

Swarm robotics and multi-drone orchestrationemerging
1 project

1-SWARM (2020-2023) lists swarm and orchestration as core keywords, placing this company inside a research consortium building coordinated multi-agent drone systems.

Cyber-physical systems of systems (CPSoS)emerging
1 project

1-SWARM focused on integrated development and operations management for CPSoS, with IEC61499 as the underlying industrial automation standard.

Edge AI and fog computing for autonomous systemsemerging
1 project

1-SWARM keywords include fog computing, AI, and decision science — indicating their role in bringing on-device intelligence to distributed drone systems.

Evolution & trajectory

How they've shifted over time

Early focus
Autonomous drone underground mapping
Recent focus
Swarm coordination and CPSoS frameworks

Their first H2020 project (AutoFlyMap, 2019) was a tightly scoped SME Phase 1 feasibility study with a single application goal: map underground infrastructure using autonomous drones without GPS. No broad technology keywords appear from that period, suggesting the work was more engineering prototype than research. By 2020-2023, their involvement in the 1-SWARM RIA shifted the focus substantially toward foundational frameworks — swarm coordination, fog computing, AI-driven decision science, and industrial standards like IEC61499. The trajectory is from single-UAV, application-specific work toward the harder problem of orchestrating many autonomous agents in complex industrial cyber-physical environments.

They are moving from single-drone niche applications toward multi-agent swarm architectures and industrial cyber-physical systems, which positions them for future opportunities in smart infrastructure, autonomous logistics, and large-scale drone fleet management.

Collaboration profile

How they like to work

Role: specialist_contributorReach: regional4 countries collaborated

They have shown both faces of consortium participation: leading a focused SME feasibility study (AutoFlyMap) and joining as a specialist partner in a larger RIA project (1-SWARM). Their coordinator role on AutoFlyMap demonstrates capacity to manage a project independently, while their participation in 1-SWARM with 13 distinct partners across 4 countries suggests they integrate well into larger research teams. The relatively small partner count across just two projects means their network is still forming — they are not yet a well-connected hub but a capable specialist who has begun building European research relationships.

13 unique consortium partners across 4 countries, accumulated over 2 projects. Their network is European in geographic scope but modest in size, reflecting an organization that is early in its EU research collaboration journey.

Why partner with them

What sets them apart

Very few SMEs combine hands-on drone deployment experience in GPS-denied environments with research-grade expertise in swarm coordination and CPSoS frameworks — most drone companies stay on one side or the other. Their involvement in both an SME Phase 1 feasibility study (showing market-readiness thinking) and a multi-year RIA (showing research depth) gives them credibility across the TRL spectrum. For consortium builders needing a UAV specialist who can also contribute to system architecture and AI-driven autonomy, this company occupies a genuinely uncommon position in the Spanish SME landscape.

Notable projects

Highlights from their portfolio

  • AutoFlyMap
    Coordinator-led SME Phase 1 project addressing the specific and underserved problem of autonomous drone mapping in underground GNSS-denied environments — a clear market niche with direct industrial application.
  • 1-SWARM
    Their largest project by funding (EUR 229,375) and the one that reveals their research depth, linking UAV expertise to swarm intelligence, fog computing, and the IEC61499 industrial automation standard within a multi-country RIA consortium.
Cross-sector capabilities
Infrastructure inspection (underground, tunnels, pipelines)Industrial automation and smart manufacturingSecurity and border surveillanceTransport and autonomous logistics
Analysis note: Only 2 projects in the dataset, one of which is a 6-month SME Phase 1 feasibility study with no recorded keywords — this limits the keyword evolution analysis significantly. Core UAV expertise is clear, but the true depth and breadth of their technical capabilities cannot be reliably assessed from this data alone. Profile should be revisited if additional project data or published deliverables become available.