Marilyn Wolf

Human Media, University of Nebraska–Lincoln

Papers

Total Citations

245

H-Index

About

Marilyn Wolf is a pioneering researcher at the intersection of embedded computing, cyber-physical systems, and robotics, with a career spanning over three decades. Her work has fundamentally shaped how we design resource-efficient autonomous systems that interact with the physical world. Wolf’s major contributions include pioneering the concept of hardware/software co-design for embedded systems, establishing foundational principles for real-time and distributed computing in robotics. Her highly cited paper on the "Huggable" therapeutic robotic companion (184 citations) demonstrates her impact in human-robot interaction, exploring how robots can provide affective touch for patient care. More recently, she has advanced autonomous systems through task-driven sensor fusion, developing methods like RGB-Lidar integration for object tracking that optimize resource use without sacrificing accuracy (51 citations). Wolf has also pushed boundaries in aerial robotics, including autonomous UAV landing on moving platforms using machine learning. Her adaptive perception control work using Twin Delayed DDPG (2 citations) addresses the critical challenge of making neural network-based perception computationally efficient and responsive to environmental changes. A Fellow of the IEEE and ACM, Wolf has authored seminal textbooks on embedded computing and served as Editor-in-Chief of ACM Transactions on Embedded Computing Systems, cementing her legacy as a foundational thinker in smart, autonomous systems.