Papers
3
Total Citations
18
H-Index
2
About
Gregory Bales is a pioneering researcher at the intersection of cognitive neuroscience and robotics, specializing in human-swarm interaction. His work fundamentally explores how humans cognitively and behaviorally manage autonomous multiagent systems, aiming to create seamless human-machine teams. Bales’s major contributions involve using electroencephalography (EEG) to decode the neural correlates of task performance, revealing how a human’s cognitive state—measured through spectral power and network dynamics—directly impacts their ability to guide robotic swarms. His most cited work (2017, 9 citations) established a foundational framework by evaluating both neurophysiological and behavioral characteristics in real-world-inspired tasks. He further advanced the field by demonstrating that EEG network perspectives can predict performance differences in human-multiagent teams (2022, 7 citations). Notably, his 2018 study was among the first to link the geometric complexity of a robotic group to changes in brain activity and task success. Through these innovative studies, Bales is laying the critical groundwork for designing adaptive, cognitively-aware autonomous systems that can intuitively partner with human operators.
Research Focus
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