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Abstract
A military reconnaissance environment was simulated to examine the performance of ground robotics operators who were instructed to utilise streaming video from an unmanned aerial vehicle (UAV) to navigate his/her ground robot to the locations of the targets. The effects of participants' spatial ability on their performance and workloadwere also investigated. Results showed that participants' overall performance (speed and accuracy) was better when she/he had access to images from larger UAVs with fixed orientations, compared with other UAV conditions (baseline- no UAV, micro air vehicle and UAV with orbiting views). Participants experienced the highest workload when the UAV was orbiting. Those individuals with higher spatial ability performed significantly better and reported less workload than those with lower spatial ability.
The results of the current study will further understanding of ground robot operators' target search performance based on streaming video from UAVs. The results will also facilitate the implementation of ground/air robots in military environments and will be useful to the future military system design and training community.
Acknowledgements
This project was funded by the US Army's Robotics Collaboration Army Technology Objective (ATO) and Scalable Embedded Training – Mission Rehearsal ATO of RDECOM Simulation & Training Technology Center (STTC). The author wishes to thank Mr Bryan Clark for his contribution to the data collection process and Mr Michael Barnes of ARL-HRED for his guidance. The author would also like to thank STTC for providing equipment and support.
Notes
This material is declared a work of the United States Government and is not subject to copyright protection: approved for public release, distribution in unlimited.
