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About

Bernhard Reiterer is a leading researcher in human-robot collaboration (HRC), with a focus on making industrial robotics safer, more intuitive, and trustworthy. His work centers on the intersection of human factors, real-time gaze analysis, and mixed reality to optimize how humans and robots team up. Reiterer’s major contributions include developing a novel framework that uses gaze-based measurements to assess human situation awareness in real-time, a critical step for evaluating and improving collaborative efficiency. His most cited paper (2019, 17 citations) lays the groundwork for this approach. He further explores trust dynamics through innovative virtual and mixed-reality environments, such as CoBot Studio VR (2021, 14 citations), demonstrating how information richness shapes user trust, self-efficacy, and mental models. Beyond human factors, Reiterer advances robot safety and reliability through formal verification of robotic workflows and anomaly detection, comparing rule-based and machine learning methods. His work on tactile sensor solutions with MEMS pressure sensors also contributes to more responsive industrial robotics. With a growing citation record and a transdisciplinary approach, Reiterer is shaping the future of collaborative robotics by ensuring that technology is not only capable but also trusted and understood by its human partners.