Human-Machine Teaming with small Unmanned Aerial Systems in a MAPE-K Environment

Author:

Cleland-Huang Jane1,Chambers Theodore1,Zudaire Sebastian2,Chowdhury Muhammed Tawfiq3,Agrawal Ankit4,Vierhauser Michael5

Affiliation:

1. Computer Science and Engineering, University of Notre Dame, IN, USA

2. Instituto Balseiro – Universidad Nacional de Cuyo, Argentina

3. Computer Science and Engineering, Univ. of Notre Dame, IN, USA

4. Dept. of Computer Science, Saint Louis University, MO, USA

5. LIT Secure and Correct Systems Lab, Johannes Kepler University Linz, Austria

Abstract

The Human Machine Teaming (HMT) paradigm focuses on supporting partnerships between humans and autonomous machines. HMT describes requirements for transparency, augmented cognition, and coordination that enable far richer partnerships than those found in typical human-on-the-loop and human-in-the-loop systems. Autonomous, self-adaptive systems in domains such as autonomous driving, robotics, and Cyber-Physical Systems, are often implemented using the MAPE-K feedback loop as the primary reference model. However, while MAPE-K enables fully autonomous behavior, it does not explicitly address the interactions that occur between humans and autonomous machines as intended by HMT. In this paper, we, therefore, present the MAPE-K HMT framework which utilizes runtime models to augment the monitoring, analysis, planning, and execution phases of the MAPE-K loop in order to support HMT despite the different operational cadences of humans and machines. We draw on examples from our own emergency response system of interactive, autonomous, small unmanned aerial systems to illustrate the application of MAPE-K HMT in both a simulated and physical environment, and discuss how the various HMT models are connected and can be integrated into a MAPE-K solution.

Publisher

Association for Computing Machinery (ACM)

Subject

Software,Computer Science (miscellaneous),Control and Systems Engineering

Reference136 articles.

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