The HERD Project: Human-Multi-Robot Interaction in Search & Rescue and in Farming (bibtex)
by Christensen, Anders Lyhne, Grøntved, Kasper Andreas Rømer, Oanh Hoang, Maria-Theresa, van Berkel, Niels, Skov, Mikael, Scovill, Alea, Edwards, Gareth, Geipel, Kenneth Richard, Dalgaard, Lars, Lundquist, Ulrik Pagh Schultz, Constantiou, Ioanna, Lehrer, Christiane and Merritt, Timothy
Abstract:
Large-scale multi-robot systems have numerous potential real-world applications. It is, however, still unclear how a human operator can effectively engage and control a system composed of multiple autonomous robots, especially in unstructured and outdoor environments. This paper reports on ongoing work in the project HERD — Human-AI Collaboration: Engaging and Controlling Swarms of Robots and Drones, in which we focus on two concrete use cases from industrial partners, namely farming and search & rescue. One of the industrial partners, Agro Intelligence ApS, currently sells autonomous farming robots, while the other, Robotto ApS, develops autonomous drone-based monitoring solutions for emergency responders. Both partners aim to scale their technologies to multi-robot/multi-drone operations. In this paper, we present the two use cases, their differences and similarities, challenges and preliminary results.
Reference:
A. L. Christensen, K. A. R. Grøntved, M. Oanh Hoang, N. van Berkel, M. Skov, A. Scovill, G. Edwards, K. R. Geipel, L. Dalgaard, U. P. S. Lundquist, I. Constantiou, C. Lehrer, T. Merritt, "The HERD Project: Human-Multi-Robot Interaction in Search & Rescue and in Farming", in Adjunct Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'22 EA), 2022, 1–4.
Bibtex Entry:
@inproceedings{Christensen2022HERD,
	Title        = {The {HERD} Project: Human-Multi-Robot Interaction in Search & Rescue and in Farming},
	Author       = {Christensen, Anders Lyhne and Grøntved, Kasper Andreas Rømer and Oanh Hoang, Maria-Theresa and van Berkel, Niels and Skov, Mikael and Scovill, Alea and Edwards, Gareth and Geipel, Kenneth Richard and Dalgaard, Lars and Lundquist, Ulrik Pagh Schultz and Constantiou, Ioanna and Lehrer, Christiane and Merritt,  Timothy},
	Year         = 2022,
	Booktitle    = {Adjunct Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems},
	Location     = {IROS'22 EA},
	Pages        = {1--4},
	Url          = {https://nielsvanberkel.com/files/publications/iros2022a.pdf},
	Abstract     = {Large-scale multi-robot systems have numerous potential real-world applications. It is, however, still unclear how a human operator can effectively engage and control a system composed of multiple autonomous robots, especially in unstructured and outdoor environments. This paper reports on ongoing work in the project HERD — Human-AI Collaboration: Engaging and Controlling Swarms of Robots and Drones, in which we focus on two concrete use cases from industrial partners, namely farming and search & rescue. One of the industrial partners, Agro Intelligence ApS, currently sells autonomous farming robots, while the other, Robotto ApS, develops autonomous drone-based monitoring solutions for emergency responders. Both partners aim to scale their technologies to multi-robot/multi-drone operations. In this paper, we present the two use cases, their differences and similarities, challenges and preliminary results.},
}
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