Cody Lee Lundberg

The University of Texas at Arlington

Papers

6

Total Citations

56

H-Index

5

About

Cody Lee Lundberg is a robotics researcher whose work spans two compelling and complementary domains: autonomous multi-robot systems for situational awareness and assistive robotics for healthcare environments. His most influential contribution, a framework for heterogeneous manned-unmanned teams (2018, 20 citations), established a robust methodology for coordinating human agents alongside smart unmanned systems in dynamic, unmodeled environments — a critical advance for mission-critical applications requiring rapid situational awareness. Complementing this, his work on mixed reality-based swarm control architectures (2017) pushed the boundaries of human-robot teaming by integrating augmented interfaces to enhance collaborative decision-making. Lundberg has also made significant strides in medical robotics, most notably through the development of MINA, a Multitasking Intelligent Nurse Aid designed to assist nurses with fetching tasks using an omni-directional mobile base and augmented reality waypoint planning (2022, 11 citations). His broader body of work on the Adaptive Robotic Nursing Assistant (ARNA) systematically identifies real-world application requirements through human subject testing, grounding his research in practical clinical needs. With over 56 cumulative citations, Lundberg's research meaningfully bridges autonomous systems engineering and human-centered robot design.

Research Focus

Key Achievements

5
H-Index
6
Papers
56
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A Rapid Situational Awareness Development Framework for Heterogeneous Manned-Unmanned Teams
20 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: The University of Texas at Arlington

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago