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About

Elin Anna Topp is a robotics researcher whose work spans human-robot interaction, spatial reasoning, and industrial robot programming. Her career traces a compelling arc from foundational questions about how robots and humans share physical and conceptual space to practical challenges in flexible manufacturing automation. Topp's early and most influential contributions examined the spatial dynamics of human-robot interaction, most notably through her widely cited 2006 study on proximity and orientation in service robot scenarios (235 citations), and her development of human augmented mapping — a paradigm enabling robots to navigate and learn environments collaboratively with users. Her tracking work for person-following robots (126 citations) provided key infrastructure for this vision. A consistent thread throughout her research is bridging human and robotic world representations, ensuring robots can communicate their knowledge in terms meaningful to everyday users. In later years, Topp turned her attention to industrial robotics, contributing to the SMErobotics project on smart flexible manufacturing (107 citations) and pioneering simplified, demonstration-based programming approaches for collaborative robots like the ABB YuMi. Her more recent work explores reinforcement learning for contact-rich manipulation. Across more than fifteen years of research, Topp has consistently worked to make robots more accessible, communicative, and genuinely useful alongside human partners.