Papers
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Total Citations
7
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About
Miriam Elser is an emerging researcher in the field of autonomous systems and robotics, with a particular focus on the co-design of perception and decision-making frameworks for mobile robots. Her work addresses one of the most pressing challenges in modern robotics: how to efficiently integrate hardware and software components in a way that simultaneously satisfies competing demands of safety, energy efficiency, computational constraints, and cost minimization. Her most notable contribution, "CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles" (2025), has already garnered 7 citations in a short time — a strong indicator of early impact in the fast-moving autonomous vehicles research community. This work is particularly significant because it moves beyond treating perception and decision-making as isolated modules, instead proposing an integrated, task-driven optimization approach that considers the full system holistically. Elser's research sits at the intersection of robotics, autonomous driving, and systems engineering, making her contributions relevant to both academic researchers and industry practitioners working to build safer, leaner, and more capable autonomous platforms. Her early career trajectory suggests a promising and influential path ahead.
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Top Papers
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