Arne Nordmann

Works across technology strategy and system architecture for NEURA's cognitive, humanoid robotics platform - connecting software, hardware, and AI, and pushing engineering maturity (safety, validation, platform readiness) as systems move from research prototypes toward robots deployable and industrializable at scale. Represents NEURA's technology to partners, investors, and industry, and leads technical due diligence for investment rounds. Two current threads: making physical AI genuinely multi-modal through the Perception-Language-Action (PLA) approach, and building the ecosystem - real-world training infrastructure, NEURA Gym, and new technology partnerships - that gets these robots deployed, not just demoed.

Led technical decision-making across NEURA Robotics' engineering departments - software, hardware, and safety - integrating them into a single cognitive robotics platform as the company scaled. The transition from individual systems-engineering and safety work into cross-disciplinary engineering leadership, coordinating growing teams across every technical discipline the platform depends on. Also led technical due diligence for NEURA's investment rounds.

Applied industrial research spanning automotive and robotics - carrying the model-driven systems-engineering foundation from the PhD into large-scale, safety-critical settings: model-based safety assessment and cloud communication for automotive systems, and robotics systems engineering for intralogistics and household robotics.

Model-based software & systems engineering for robotics and domain-specific languages, with motion control for humanoid, mobile, and quadruped robots, and compliant industrial robots. See the full research background.

Internship in the Robot Technology department, focused on probabilistic robotics and physical simulation of robot scenarios.

Inaugural member of imec's Robotics Strategic Advisory Board, advising on imec's robotics and humanoid-robotics technology roadmap.

Thesis: "Modeling of Motion Primitive Architectures using Domain-Specific Languages", submitted August 2015. Foundation in robotics software, systems engineering, and reusable robot behavior.

Specialization in control theory and robotics. Thesis: "Überwachtes Lernen bildbasierter Roboterverhalten" (Supervised Learning of Vision-Based Robot Behaviors), July 2009.

Undergraduate research assistant, alongside early studies at TU Dortmund.

Management trainee program preceding the move into engineering leadership at NEURA - seminars on self-reflection, communication, and conflict management.

Coordinates the "Software Engineering, Systems Integration and Systems Engineering" topic group: organizes community-building events and workshops, curates the topic group, and provides input to the European Robotics & AI Strategic Research Agenda.

Supervised three master's theses in robotics and automotive; co-supervises an industrial PhD with Prof. Lars Grunske, Humboldt University Berlin.

Keynotes and panel talks on physical AI and humanoid robotics for industry and technical audiences, including automatica, SAP TechEd Berlin, and London Tech Week (AWS), plus media appearances such as Deutschlandfunk's "KI verstehen."