Enabling trustworthiness in human-swarm systems through a digital twin

Soorati, Mohammad D.; Naiseh, Mohammad; Hunt, William; Parnell, Katie; Clark, Jediah; Ramchurn, Sarvapali D.

doi:10.1016/b978-0-443-15988-6.00008-x

Putting AI in the Critical Loop 2024

DOI: 10.1016/b978-0-443-15988-6.00008-x

|View full text |Cite

Enabling trustworthiness in human-swarm systems through a digital twin

Mohammad D. Soorati,

Mohammad Naiseh,

William Hunt

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Mapping Safe Zones for Co-located Human-UAV Interaction

Abioye,

Bidgood,

Ramchurn

et al. 2024

Proceedings of the Second International Symposium on Trustworthy Autonomous Systems

View full text Add to dashboard Cite

Recent advances in robotics bring us closer to the reality of living, co-habiting, and sharing personal spaces with robots. However, it is not clear how close a co-located robot can be to a human in a shared environment without making the human uncomfortable or anxious. This research aims to map safe and comfortable zones for co-located aerial robots. The objective is to identify the distances at which a drone causes discomfort to a co-located human and to create a map showing no-fly, moderate-fly, and safe-fly zones. We recruited a total of 18 participants and conducted two indoor laboratory experiments, one with a single drone and the other set with two drones. Our results show that multiple drones cause more discomfort when close to a co-located human than a single drone. We observed that distances below 200 cm caused discomfort, the moderate fly zone was 200 -300 cm, and the safe-fly zone was any distance greater than 300 cm in single drone experiments. The safe zones were pushed further away by 100 cm for the multiple drone experiments. In this paper, we present the preliminary findings on safe-fly zones for multiple drones. Further work would investigate the impact of a higher number of aerial robots, the speed of approach, direction of travel, and noise level on co-located humans, and autonomously develop 3D models of trust zones and safe zones for co-located aerial swarms.

show abstract

Mapping Safe Zones for Co-located Human-UAV Interaction

Abioye,

Bidgood,

Ramchurn

et al. 2024

Proceedings of the Second International Symposium on Trustworthy Autonomous Systems

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Enabling trustworthiness in human-swarm systems through a digital twin

Cited by 1 publication

References 49 publications

Mapping Safe Zones for Co-located Human-UAV Interaction

Mapping Safe Zones for Co-located Human-UAV Interaction

Contact Info

Product

Resources

About