Papers
3
Total Citations
29
H-Index
3
About
Addison Bohannon is a pioneering researcher at the intersection of computational neuroscience and multi-robot systems, whose work redefines how humans and machines collaborate. His most influential contribution, the concept of "Cortically Coupled Computing" (2016, 19 citations), introduces a paradigm shift from traditional brain-computer interfaces. Instead of direct control, this system opportunistically senses a user’s implicit brain state—capturing subconscious computations—and seamlessly communicates them to a computer, enabling a synergistic, non-intrusive form of human-machine interaction. This foundational work has opened new avenues for assistive technologies and augmented cognition. Complementing this, Bohannon has made significant strides in autonomous robotics. His frameworks for heterogeneous multirobot teams address the critical challenge of long-duration autonomy. In his 2021 paper (5 citations), he developed an energy-aware, survivability-focused task allocation system that dynamically assigns tasks to robots while prioritizing team resilience. His 2020 work (5 citations) further advances this by tackling the realistic problem of evolving and unknown robot capabilities, creating adaptive algorithms that ensure robust performance even as robots degrade or gain new skills over time. Together, these contributions position Bohannon as a key figure in building resilient, intelligent systems that bridge human cognition and autonomous teamwork.
Research Focus
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