Andreas Kriegler

Papers

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About

Andreas Kriegler is a researcher at the intersection of human-robot interaction and computer vision, with a focus on making robotic systems more perceptive and socially intuitive. His work explores how robots can understand and respond to human behavior, particularly through body movement mirroring and synchrony—a key area for building trust and natural collaboration in human-robot teams. His 2024 review on this topic, which has already garnered 6 citations, synthesizes technical advances in robotic systems designed to mimic human motion. Kriegler also contributes to 3D perception, as seen in his work on PrimitivePose, a generic model for predicting 3D bounding boxes of unseen objects without relying on pre-existing CAD models. This approach addresses a critical challenge in robotics: enabling machines to interact with novel environments. His earlier research on vision-based docking for mobile robots further demonstrates his commitment to practical, real-world applications. Though his career is still emerging, Kriegler’s work is steadily gaining recognition for bridging social and perceptual robotics.