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Carnegie Mellon Robotics Institute

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Abstract

Unstructured and hostile environments impose great risk to exposed humans and present ideal domains for robotic forces; however, these dynamic environments pose considerable difficulty in autonomous multi-robot coordination, making a need for supervisory control paramount. This paper examines a three-phase approach that increases the robustness, reliability, and efficiency of human-machine work systems by dynamically altering the soldier-robot control relationships as well as the effective autonomy manifested by each robot function in response to estimated cognitive loading (stress). This approach enables an adaptive command and control structure across a spectrum of force configurations.

Keywords

human-machine work systems, command and control, supervisory control

Notes

Number of pages: 9

Text Reference

Aaron Christopher Morris, Charles Smart, and Scott Thayer, "Adaptive Multi-Robot, Multi-Operator Work Systems," Multi-Robot Systems: From Swarms to Intelligent Automata, March, 2002, pp. 203-211.

BibTeX Reference

@inproceedings{Morris_2002_4123,
   author = "Aaron Christopher Morris and Charles Smart and Scott Thayer",
   editor = "Alan C. Schultz and Lynne E. Parker",
   title = "Adaptive Multi-Robot, Multi-Operator Work Systems",
   booktitle = "Multi-Robot Systems: From Swarms to Intelligent Automata",
   pages = "203-211",
   publisher = "Kluwer Academic Publishers",
   address = "P.O. Box 17, 3300 AA Dordrecht, The Netherlands",
   month = "March",
   year = "2002",
   volume = "1",
}

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