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About

Andreas Rausch is a prominent researcher whose work sits at the intersection of autonomous systems engineering, dependability, and human-robot collaboration. His research addresses some of the most pressing challenges in deploying intelligent autonomous systems in real-world environments, spanning autonomous vehicles, transport robotics, and smart home applications. Rausch's most influential contribution, "Towards a Holistic Software Systems Engineering Approach for Dependable Autonomous Systems" (2018, 49 citations), established foundational frameworks for ensuring safety and security in autonomous systems under stringent product liability standards. Building on this, his 2016 work on verification of safety-critical autonomous systems in dynamic environments (28 citations) tackled the complex challenge of validating system behavior amid real-world uncertainty — a critical concern for deployments like hospital service robots and highway-capable autonomous cars. More recently, Rausch has pioneered research into trust dynamics within human-robot collaboration, exploring both how humans develop trust in robotic partners and how robots can model and respond to human trustworthiness. His 2021 study on verbal assurances in physical human-robot collaboration (23 citations) demonstrates his interdisciplinary reach beyond pure engineering into behavioral science. His ongoing work on runtime safety assurance for last-mile delivery vehicles reflects a sustained commitment to translating theoretical advances into practical, deployable solutions.