SciTransfer
Organization

STILL GMBH

German intralogistics manufacturer contributing warehouse fleet expertise to EU projects on autonomous transport, predictive maintenance, and intelligent motion control.

Large industrial companydigitalDE
H2020 projects
3
As coordinator
0
Total EC funding
€504K
Unique partners
123
What they do

Their core work

STILL is a major German manufacturer of forklift trucks, warehouse trucks, and intralogistics systems, headquartered in Hamburg. In H2020, they contribute real-world logistics and material handling expertise to research projects focused on predictive maintenance, autonomous transport, and intelligent motion control. Their participation brings industrial-grade use cases — fleet management, warehouse automation, and vehicle control systems — to consortia developing next-generation digital and robotics technologies. They serve as an end-user and application partner that grounds research in actual logistics operations.

Core expertise

What they specialise in

Autonomous logistics and fleet managementprimary
2 projects

AWARD focused on autonomous transport and fleet management; IMOCO4.E addresses intelligent motion control for industrial vehicles.

Predictive maintenance for industrial equipmentprimary
2 projects

MANTIS was dedicated to CPS-based proactive maintenance; predictive maintenance keywords carry into IMOCO4.E.

Digital twins and edge-to-cloud computingsecondary
1 project

IMOCO4.E explicitly targets digital twins, edge-to-cloud computing, and AI/ML for motion control systems.

Computer vision and robotics for logisticsemerging
1 project

IMOCO4.E includes computer vision and robotics as key technology areas applied to industrial motion control.

Evolution & trajectory

How they've shifted over time

Early focus
Predictive maintenance CPS
Recent focus
Autonomous logistics and AI motion control

STILL's H2020 journey starts with predictive maintenance (MANTIS, 2015-2018), where they contributed industrial equipment data to a cyber-physical systems project. By 2021-2024, their focus broadened significantly into autonomous transport, digital twins, AI-driven motion control, and fleet management across two concurrent projects. The shift reflects STILL's broader company strategy of moving from reactive/preventive maintenance toward fully autonomous, AI-enabled warehouse and logistics operations.

STILL is moving toward fully autonomous warehouse logistics, combining fleet management, computer vision, and digital twin technologies — expect future interest in projects integrating these into real operational environments.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European21 countries collaborated

STILL never coordinates H2020 projects — they participate as an industrial end-user and application partner, or as a third party providing logistics infrastructure for demonstrations. With 123 unique partners across 21 countries, they operate in large research consortia (typical for ECSEL and transport IAs) rather than small focused teams. This profile suggests they are best approached as a validation partner who brings real logistics environments and industrial-scale use cases to the table.

STILL has worked with 123 unique partners across 21 countries, reflecting their involvement in large-scale European consortia. Their network spans a wide geographic range typical of ECSEL and transport innovation actions.

Why partner with them

What sets them apart

STILL brings something rare to research consortia: they are a large-scale manufacturer of logistics vehicles (forklifts, warehouse trucks) with direct access to real operational environments for testing and demonstration. Unlike pure technology developers, they can validate autonomous transport, predictive maintenance, and digital twin solutions on actual industrial fleets. For any consortium needing an intralogistics end-user with the scale and infrastructure to run meaningful pilot projects, STILL is a strong candidate.

Notable projects

Highlights from their portfolio

  • MANTIS
    Large ECSEL consortium on cyber-physical predictive maintenance — STILL's entry point into H2020 and their largest funded project (€279K).
  • IMOCO4.E
    Covers the full Industry 4.0 stack for motion control — digital twins, AI, edge computing, robotics — directly applicable to STILL's core product line.
  • AWARD
    Focused on autonomous logistics in all weather conditions with real demonstrations — STILL contributed as a third party providing fleet and operational expertise.
Cross-sector capabilities
transport and logistics automationmanufacturing and Industry 4.0robotics and autonomous systemssupply chain digitalization
Analysis note: Only 3 projects with one as third party (no funding data for AWARD). Profile is coherent but based on limited H2020 activity relative to the company's actual size and capabilities. STILL's real-world expertise in intralogistics is well-established beyond what H2020 data alone shows.