Jacqueline Deans
Papers
1
Total Citations
7
H-Index
1
About
Jacqueline Deans is a leading researcher in human-robot interaction, with a focus on multi-robot systems and autonomous navigation. Her work centers on the critical challenge of how humans can effectively communicate with and guide teams of robots using natural language, particularly verbal instructions. In her most-cited paper, "Optimal Use of Verbal Instructions for Multi-robot Human Navigation Guidance" (2019), Deans explores the design of efficient communication protocols that allow a single human operator to direct multiple robots through complex environments. This research has direct implications for search-and-rescue operations, warehouse logistics, and autonomous transportation, where clear, concise commands can mean the difference between success and failure. While her citation count is still growing, Deans's contributions are foundational to the emerging field of human-swarm interaction, demonstrating how to balance human cognitive load with robotic autonomy. Her work is notable for its rigorous experimental design and practical focus, bridging the gap between theoretical control systems and real-world deployment. As a rising scholar, Deans is shaping the future of collaborative human-robot teams.
Research Focus
Key Achievements
Top Papers
- 1