Daniel Persson

Mälardalen University, University of Gothenburg

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About

Daniel Persson’s research bridges two seemingly distinct frontiers: the ethics of autonomous systems and cutting-edge computer vision for robotics. In his influential 2008 paper “Sharing Moral Responsibility with Robots: A Pragmatic Approach” (24 citations), Persson helped pioneer the field of roboethics, arguing that moral responsibility can be meaningfully distributed between humans and intelligent machines—a foundational contribution that continues to shape debates on AI accountability. More recently, Persson has advanced robotic perception with “HEAL-SWIN: A Vision Transformer on the Sphere” (2024, 8 citations), introducing a novel spherical vision transformer that processes high-resolution wide-angle fisheye images without the distortion losses that plague conventional neural networks. This work directly addresses a critical bottleneck in autonomous driving and robotics. Persson’s career exemplifies a rare versatility: from laying ethical groundwork for human-robot interaction to engineering state-of-the-art spatial AI architectures. His ability to move between normative philosophy and technical deep learning makes him a distinctive voice in robotics, demonstrating that the field’s most pressing challenges—both moral and perceptual—require integrated, pragmatic solutions.