Daniel Barber

Affiliation

Southwest Research Institute

Biography

Dr. Daniel Barber, Principal Engineer, has over 15+ years of experience conducting and applying interdisciplinary research within the fields of human-machine interaction, robotics, machine-learning, modeling and simulation, augmented cognition, physiological assessment, control systems, path-planning, communication frameworks, and environment modeling. In the execution of these efforts, Dr. Barber has also developed multiple prototype LVC systems and autonomy enabling human machine interaction in the domains of counter small-unmanned air systems (C-sUAS), mounted and dismounted human robot teaming for the DoD, driverless cars, and nuclear power plant main control room operations. For AFRL’s “Counter-sUAS C2 Automation-Autonomy and Human Machine Teaming” project he was a lead developer for a course of action recommendation service, and under the Army’s Robotics Collaborative Technology Alliance delivered a multi-modal interface using speech and gestures for squad level human robot collaboration. He has extensive experience executing human-in-the-loop experiments both in the field and laboratory to evaluate human-machine team performance and cognitive demands. Dr. Barber is currently researching neuromorphic artificial intelligence, including the developing of spiking neural networks for hardware constrained environments.