Joseph Conroy

Papers

Total Citations

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About

Joseph Conroy is a researcher whose work sits at the intersection of human-robot interaction and autonomous systems, with a particular emphasis on the unique challenges of small-scale robotics. His primary research areas include human-machine teaming, sensor-limited autonomy, and bio-inspired vision for micro aerial vehicles (MAVs). Conroy’s key contribution lies in bridging the gap between human cognitive models and robotic system design—most notably through his work on human-robot dialogue and trust in collaborative teams. His most cited paper, *“The Future of Human Robot Teams in the Army: Factors Affecting a Model of Human-System Dialogue Towards Greater Team Collaboration”* (2016, 9 citations), proposes a framework for enhancing communication and coordination between soldiers and autonomous agents, a critical concern for defense applications. In earlier work, *“Computing Optic Flow with ArduEye Vision Sensor”* (2013, 3 citations), he tackled the computational constraints of MAVs by developing lightweight, vision-based navigation inspired by insect flight. Though his citation counts are modest, Conroy’s research is notable for its practical, systems-level approach to integrating human factors with hardware limitations—a niche but vital area for the future of field-deployable robotics.