Core contributor to SCOTT (Secure Connected Trustable Things), InSecTT (Intelligent Secure Trustable Things), ENABLE-S3 (automated systems validation), and SILENSE (sensor integration).
LINZ CENTER OF MECHATRONICS GMBH
Austrian mechatronics research center specializing in secure, trustworthy embedded systems and explainable AI for industrial and autonomous applications.
Their core work
LCM is an applied research center in Linz, Austria, specializing in mechatronics — the integration of mechanical engineering, electronics, and intelligent software. In H2020, they focus on building trustworthy, secure embedded systems and IoT devices, contributing to projects on connected sensors, autonomous transport, and industrial digitalization. They bridge the gap between academic mechatronics research and industrial deployment, particularly in areas where safety, reliability, and AI explainability are critical. Their work spans from ultrasound sensor integration to cloud-based manufacturing and robotic systems for SMEs.
What they specialise in
InSecTT explicitly targets explainable AI and trustable AI for cross-domain applications; AWARD applies AI to autonomous transport logistics.
DIH² focused on robotics Digital Innovation Hubs for agile SME production; CloudiFacturing addressed cloud-based predictive digital manufacturing.
AWARD (2021-2024) targets all-weather autonomous logistics with fleet management and pilot demonstrations.
Coordinated ASSET, their largest project (EUR 688K), on collective awareness and sustainable consumerism platforms.
How they've shifted over time
LCM's early H2020 work (2016-2018) centered on validated safety for automated systems, secure connected devices, and sensor integration — foundational embedded systems engineering. From 2019 onward, their focus shifted decisively toward AI-driven trustworthiness (explainable AI, trustable AI), robotics for SME production, and autonomous transport. This trajectory shows a clear move from hardware-level security and connectivity toward intelligent, AI-augmented systems that must be both autonomous and explainable.
LCM is moving from secure hardware/IoT foundations toward explainable AI and autonomous operations — positioning them for projects where AI safety, trustworthiness, and real-world deployment validation are central requirements.
How they like to work
LCM operates almost exclusively as a consortium partner (7 of 8 projects), contributing specialized mechatronics and embedded systems expertise rather than leading large initiatives. Their one coordination role (ASSET) was their highest-funded project, suggesting they can lead when the topic aligns closely with their core strengths. With 279 unique partners across 33 countries, they are well-networked and comfortable in large ECSEL-type consortia — a reliable specialist contributor that integrates into complex multi-partner projects.
LCM has collaborated with 279 unique partners across 33 countries, reflecting deep integration into Europe's large-scale electronics and embedded systems research community. Their network is particularly strong through ECSEL Joint Undertaking projects, which typically involve 30-50+ partners from across the EU.
What sets them apart
LCM occupies a distinctive niche at the intersection of mechatronics hardware and AI trustworthiness — they don't just build intelligent systems, they work on making those systems explainable and verifiably safe. Their applied research model bridges university-level theory and industrial deployment, making them an ideal partner when a consortium needs someone who can implement and validate AI-driven mechatronic prototypes. For Austrian partners especially, they offer a proven track record in ECSEL consortia with deep connections across the European electronics ecosystem.
Highlights from their portfolio
- ASSETTheir only coordinated project and largest single funding (EUR 688K) — unusual topic for a mechatronics center, focusing on sustainable digital consumerism and collective awareness.
- InSecTTBest representation of their evolving expertise: combines IoT security, explainable AI, trustable AI, and cross-domain interoperability in one project.
- DIH²Pan-European Digital Innovation Hub network for robotics — positions LCM as a bridge between research and SME adoption of robotic production systems.