Julie L. Marble
Papers
11
Total Citations
499
H-Index
9
About
Julie L. Marble is a pioneering researcher in human-robot interaction (HRI) and mixed-initiative control systems, whose work has fundamentally shaped how we understand collaborative teaming between humans and autonomous machines. Based primarily at the Idaho National Engineering and Environmental Laboratory (INEEL), Marble has dedicated her career to developing and evaluating control architectures that enable robots and human operators to function as genuine teammates rather than in simple tool-user relationships. Her most influential contribution, "Shared Understanding for Collaborative Control" (2005, 154 citations), demonstrated through rigorous experimentation how mixed-initiative systems can balance human workload, error rates, and overall performance in demanding search and exploration tasks. Her sustained focus on dynamic autonomy — systems capable of fluidly adjusting their level of independence — proved especially valuable in high-stakes domains including urban search and rescue and hazardous environment characterization for the Department of Energy. Marble's research consistently addressed real-world usability challenges, recognizing early that human factors and system trust could limit even technically sophisticated robots. Her 2023 work on foundational concepts in person-machine teaming demonstrates her continued relevance as AI capabilities rapidly evolve. With nearly 500 cumulative citations, her scholarship remains essential reading for researchers designing the next generation of collaborative autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Shared Understanding for Collaborative Control154 citations · 2005
- 2Evaluation of supervisory vs. peer-peer interaction with human-robot teams75 citations · 2004
- 3Dynamic-Autonomy for Urban Search and Rescue57 citations · 2002
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- 8Mutual initiative in human-machine teams26 citations · 2003
- 9Foundational concepts in person-machine teaming10 citations · 2023
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