Justin Storms
Papers
11
Total Citations
127
H-Index
5
About
Justin Storms is a robotics researcher whose work centers on teleoperation, shared control systems, and unmanned ground vehicles. His research addresses one of the most persistent challenges in remote robotics: enabling human operators to effectively control mobile robots in unstructured, hazardous environments while contending with communication latency and physical system limitations. Storms' most influential contribution, "A shared control method for obstacle avoidance with mobile robots and its interaction with communication delay" (2017, 48 citations), established a foundational framework for blending human input with autonomous obstacle avoidance — a problem of critical importance in military and emergency response applications. This work builds on his earlier research into control-blending strategies (2014, 36 citations), which demonstrated how semi-autonomous systems can outperform either human or machine operating independently. A distinctive thread throughout his career is the rigorous mathematical modeling of human teleoperator behavior. By developing steering models that account for variable communication latency and environment difficulty, Storms has helped translate subjective operator performance into quantifiable, designable parameters. His work on dynamic weight-shifting for mobile manipulators further showcases his breadth, addressing rollover prevention in high-speed platforms. Supported by the US Army's Automotive Research Center, Storms' cumulative contributions — exceeding 125 citations — have meaningfully advanced the science of human-robot teaming.
Research Focus
Key Achievements
Top Papers
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- 5A New Difficulty Index for Teleoperated Robots Driving through Obstacles7 citations · 2017
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- 8Predicting human performance during teleoperation3 citations · 2014
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