MARS: A simulation environment for marine swarm robotics and environmental monitoring

Tosik, Thomas; Schwinghammer, Jasper; Feldvos, Mandy Jane; Jonte, John Paul; Brech, Arne; Maehle, Erik

doi:10.1109/oceansap.2016.7485333

Cited by 5 publications

(1 citation statement)

References 25 publications

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“…Robotic swarms consist of a distributed cognitive network promising to enhance tasks in terrestrial, aerial, and aquatic environments [11], [12]. Robotic swarms are currently being used in a variety of application domains such as agriculture [13], search and rescue [14], monitoring and patrol [15], warehouse operation [16], last-mile delivery [17], military scenarios [18], environmental monitoring [19], and space exploration [20]. The move from multi-UAVs to those of greater numbers is challenging, as the ability of a human operator to manage each drone individually becomes less feasible as the swarm size increases [21], [5].…”

Section: Related Workmentioning

confidence: 99%

The Effect of Data Visualisation Quality and Task Density on Human-Swarm Interaction

Abioye,

Naiseh,

Hunt

et al. 2023

2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

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Despite the advantages of having robot swarms, human supervision is required for real-world applications. The performance of the human-swarm system depends on several factors including the data availability for the human operators.In this paper, we study the human factors aspect of the humanswarm interaction and investigate how having access to highquality data can affect the performance of the human-swarm system-the number of tasks completed and the human trust level in operation. We designed an experiment where a human operator is tasked to operate a swarm to identify casualties in an area within a given time period. One group of operators had the option to request high-quality pictures while the other group had to base their decision on the available low-quality images. We performed a user study with 120 participants and recorded their success rate (directly logged via the simulation platform) as well as their workload and trust level (measured through a questionnaire after completing a human-swarm scenario). The findings from our study indicated that the group granted access to high-quality data exhibited an increased workload and placed greater trust in the swarm, thus confirming our initial hypothesis. However, we also found that the number of accurately identified casualties did not significantly vary between the two groups, suggesting that data quality had no impact on the successful completion of tasks.

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