Alexander Freistetter
ABSTRACT
Drones are flying machines that can sense in 3D, which makes them well suited for tasks that require sensing in different altitudes. Besides stable autonomous indoor operation of drones, drones also need to be prepared to interact with humans on dedicated tasks. We study the use of custom drones in a sample 3D scanning task, namely bookshelf inventory. We build a prototype distributed system consisting of a drone with an onboard camera, autopilot, and Wi-Fi connectivity, and a smartphone app that performs book recognition and navigation control, while also interacting with the human teammate. We report first findings in book detection success and discuss interaction options for humans to team up with drones.
- M. Asadpour, B. Van den Bergh, D. Giustiniano, K. A. Hummel, S. Pollin, and B. Plattner. 2014. Micro Aerial Vehicle Networks: An Experimental Analysis of Challenges and Opportunities. IEEE Communications Magazine 52, 7 (July 2014), 141--149. https://doi.org/10.1109/MCOM.2014.6852096Google Scholar
Cross Ref
- S. Chaumette and F. Guinand. 2017. Control of a Remote Swarm of Drones/Robots Through a Local (Possibly Model) Swarm: Qualitative and Quantitative Issues. In 14th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (PE-WASUN '17). ACM, New York, NY, USA, 41--45. https://doi.org/10.1145/3134829.3134840Google ScholarDigital Library
- K.A. Hummel, M. Pollak, and J. Krahofer. 2019. A Distributed Architecture for Human-Drone Teaming: Timing Challenges and Interaction Opportunities. Sensors 19, 6 (2019), 13. https://doi.org/10.3390/s19061379Google Scholar
- W. Jensen, S. Hansen, and H. Knoche. 2018. Knowing You, Seeing Me: Investigating User Preferences in Drone-Human Acknowledgement. In 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Article 365, 12 pages. https://doi.org/10.1145/3173574.3173939Google ScholarDigital Library
- K. McGuire, M. Coppola, Ch. de Wagter, and G. de Croon. 2017. Towards Autonomous Navigation of Multiple Pocket-drones in Real-world Environments. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, New York, NY, USA, 244--249. https://doi.org/10.1109/IROS.2017.8202164Google ScholarDigital Library
Index Terms
- Human-Drone Teaming: Use Case Bookshelf Inventory
Recommendations
Performance of a networked human-drone team: command response and interaction effects
DroNet '20: Proceedings of the 6th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and ApplicationsDrones are flying machines which can be employed for sensing in different altitudes. While past research has made remarkable progress in providing autonomous drone navigation, the integration of humans and drones to collaboratively solve a task poses ...
Automatic Control for Aerobatic Maneuvering of Agile Fixed-Wing UAVs
The use of unmanned aerial vehicles (UAVs) has become ubiquitous in a broadening range of applications, including many civilian uses. UAVs are typically categorized into two categories: conventional fixed-wing aircraft, which are associated with ...
An evaluative review of the VTOL technologies for unmanned and manned aerial vehicles
AbstractVTOL (Vertical Take-Off and Landing) capabilities are desired features of both UAVs (Unmanned Aerial Vehicles) and MAVs (Manned Aerial Vehicles) on condition that a comparable flight performance is achieved. VTOL is not only a very ...
Comments