My research interest involves methods of improving human control over mobile robots. Current control methods involve the teleoperation of a single robot by one or more people. My work combines the advantages of adjustable autonomy and human workload analysis to create a control system that reconfigures itself to mitigate situations of cognitive overload. By doing so, a single person (or small group of people) can control more robots, more effectively.
|Research Interest Keywords|
|artificial intelligence, field robotics, human-computer interaction, mobile robots|
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
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