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Siemens Research - Where what if meets what matters

Research is in Siemens’ DNA. Our scientists are driving innovation by developing the vital technological backbone of global industry, energy and infrastructure. We work alongside academia and startups to solve real-world problems. In short, we transform what if into what matters.

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We turn frontier tech into trusted industrial impact

Some see the world as it is. We see what matters. At Siemens Research, curiosity is where every breakthrough begins. Bold questions meet the technologies that matter for industry and society. We explore what could be possible and turn it into reliable, scalable and impactful technologies for the real world.

We don’t work in isolation, but collaborate closely with our ecosystem, which includes universities, research institutes, startups and technology and industry leaders. This is how Siemens Research shapes the future of industry, buildings, trains, energy systems and critical infrastructure.

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Siemens Company Core Technologies

We want to be at the cutting edge of several important technology and innovation fields that have been determined to be critical for our success and of our customers. We call them the Company Core Technologies (CCTs) as they are at the core of our research. Our work includes pioneering resilient software architectures and self-evolving software for industrial environments. We combine the real and the digital worlds using physical systems, digital twins, AI, simulation, automation and data to solve problems that others cannot access.

And we focus on providing built-in guarantees for quality and operable autonomy. Our technology is trustworthy because we prioritize safety, security, robustness, explainability and reliability, and aims to meet the industry's stringent requirements. In addition to applied research, we have a dedicated long-term research unit exploring technologies with product visions of 5+ years, beyond our current portfolio.

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Integrated Circuits, Industrial & Power Electronics

Spans everything from AI-EDA, IC/PCB design, and manufacturing to sustainability for software-defined hardware in electrification, automation, and digitalization, integrating hardware, software, thermal and mechanical domains.

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System Design & Simulation

Encompasses system and component modeling, simulation and multi-physics design using AI, spanning the CAD/CAM chain and digital twins for visualization, testing, verification and optimization across robotics and energy.

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Autonomous Systems & Control

Addresses methods, algorithms, and validation for autonomous perception, control and action within safe boundaries, targeting continuous (energy, processes) and discrete systems (factories, robotics, vehicles).

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Software Architecture & Design

Advances innovative software architecture and engineering methods to boost development productivity and integrate new software approaches and technologies into Siemens processes and products.

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Computing & Communication

Covers software and communication infrastructure across the field-edge-cloud continuum, from OS, runtime and middleware to app management, networking, data acquisition/processing and new computing technologies.

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Cybersecurity & Trust

Safeguards products and operations against threats, ensuring resilience, compliance and data protection. Delivers trust technologies for secure collaboration and tamper-proof data exchange in connected ecosystems.

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Data & Artificial Intelligence

Encompasses industrial foundation models, copilots, agentic workflows, knowledge graphs, time-series analytics, MLOps, trustworthy AI, physical/vision AI, mathematical optimization, dynamic planning and decision intelligence.

What sets Siemens Research apart

Icon symbolizing research capabilites: Our researchers solve real industry and customer problems.

Applied research

Our researchers solve real industry and customer problems.

Icon symbolizing our comprehensive approach: We cover a broad range of research areas, topics, and technologies.

Comprehensive approach

We cover a broad range of research areas, topics, and technologies.

Icon representing our domain expertise: We have a proven ability to bridge scientific discovery and industrial deployment.

Domain expertise

We have a proven ability to bridge scientific discovery and industrial deployment.

Icon showing a plant: We are industry native and can provide access to physical assets and decades of operational data.

Industry native

We have and can provide access to physical assets and decades of operational data.

Meet the innovators

Discover the fascinating stories of our researchers as they transform what if into what matters.

Johannes Hechtel: When speed meets safety in robotics

When speed meets safety in robotics

In their IROS 2026 paper, "Enabling dynamic tracking in vision-language-action models," Johannes Hechtl, Philipp Schmitt, Georg von Wichert, and Wolfram Burgard introduce two model-agnostic action space representations with velocity feedforward to fix discrete, low-frequency VLA targets. Tested on 1mm cube-in-hole tasks using Universal Robots, it boosts teleoperated throughput by 56% and autonomous VLA throughput by 18% with faster, safe tracking.

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