AWARD focused on autonomous transport and fleet management; IMOCO4.E addresses intelligent motion control for industrial vehicles.
STILL GMBH
German intralogistics manufacturer contributing warehouse fleet expertise to EU projects on autonomous transport, predictive maintenance, and intelligent motion control.
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.
What they specialise in
MANTIS was dedicated to CPS-based proactive maintenance; predictive maintenance keywords carry into IMOCO4.E.
IMOCO4.E explicitly targets digital twins, edge-to-cloud computing, and AI/ML for motion control systems.
IMOCO4.E includes computer vision and robotics as key technology areas applied to industrial motion control.
How they've shifted over time
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.
How they like to work
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.
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.
Highlights from their portfolio
- MANTISLarge ECSEL consortium on cyber-physical predictive maintenance — STILL's entry point into H2020 and their largest funded project (€279K).
- IMOCO4.ECovers the full Industry 4.0 stack for motion control — digital twins, AI, edge computing, robotics — directly applicable to STILL's core product line.
- AWARDFocused on autonomous logistics in all weather conditions with real demonstrations — STILL contributed as a third party providing fleet and operational expertise.