Interaction Concept for Mixed-Initiative Mission Planning on Multiple Delegation Levels in Multi-UCAV Fighter Missions

  • Felix HeilemannEmail author
  • Axel Schulte
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 903)


The management of several UCAVs from board a manned combat aircraft is a challenging problem. While fully automatic planners lead to complacency and low workload, manual planning leads to a much too heavy workload for the pilot. In this article, we present a mixed-initiative planning concept, consisting of a delegation and an assistance part. The delegation part of the concept enables the pilot to command tasks to the UCAVs on a team-, task- and parameter-based level, which are taken as planning constraints. The assistance part supports the pilot in the plan creation process and can proactively counteract possible failures. An initial validation of the implemented concept is presented.


Human-autonomy teaming Mixed-initiative planner 


  1. 1.
    Chen, J.Y.C., Barnes, M.J.: Human–agent teaming for multirobot control: a review of human factors issues. IEEE Trans. Human-Mach. Syst. 44(1), 13–29 (2014)CrossRefGoogle Scholar
  2. 2.
    Behymer, K., Rothwell, C., Ruff, H., Patzek, M., Calhoun, G., Draper, M., Douglass, S., Kingston, D., Lange, D.: Initial evaluation of the intelligent multi-U × V planner with adaptive collaborative/control technologies (IMPACT) (2017)Google Scholar
  3. 3.
    Wiener, E.L., Curry, R.E.: Flight-deck automation: promises and problems. Ergonomics 23(10), 995–1011 (1980)CrossRefGoogle Scholar
  4. 4.
    Felix Heilemann, A.S., Schmitt, F.: Mixed-Initiative Mission Planning of Multiple UCAVs from Aboard a Single Seat Fighter Aircraft. SciTech (2019)Google Scholar
  5. 5.
    Gangl, S., Lettl, B., Schulte, A.: Management of multiple unmanned combat aerial vehicles from a single-seat fighter cockpit in manned-unmanned fighter missions. In: AIAA Infotech@Aerospace (I@A) Conference (2013)Google Scholar
  6. 6.
    Schmitt, F., Schulte,, A.: Experimental evaluation of a scalable mixed-initiative planning associate for future military helicopter missions. Lecture Notes Computer Science (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics)Google Scholar
  7. 7.
    Schmitt, F., Roth, G., Barber, D., Chen, J., Schulte, A.: Experimental Validation of Pilot Situation Awareness Enhancement Through Transparency Design of a Scalable Mixed-Initiative Mission Planner, vol. 722 (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Universität der Bundeswehr MünchenNeubibergGermany

Personalised recommendations