The HERD Project: Human-Multi-Robot Interaction in Search & Rescue and in Farming

Christian Lyhne Ibsen, Kasper Andreas Rømer Grøntved, Maria-Theresa Oanh Hoang, Alexandra Hettich, Niels van Berkel, Mikael Skov, Alea Scovill, Gareth Edwards, Kenneth Richard Geipel, Lars Dalgaard, Ulrik Pagh Schultz Lundquist, Ioanna Constantiou, Christiane Lehrer, Timothy Merritt

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


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.
Original languageEnglish
Title of host publicationAdjunct Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Number of pages4
Publication date2022
Publication statusPublished - 2022
EventThe 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems - Kyoto International Conference Center, Kyoto, Japan
Duration: 23 Oct 202227 Oct 2022


ConferenceThe 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems
LocationKyoto International Conference Center
Internet address


  • Human-robot interaction
  • Search and rescue
  • Agricultural robotics
  • Swarm robotics

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