Glenn Taylor

Papers

Total Citations

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About

Glenn Taylor is a leading researcher in human-robot interaction (HRI) and intelligent user interfaces, with a focus on supervisory control for unmanned systems. His work addresses the critical challenge of enabling intuitive, multi-modal communication between humans and robots, moving beyond traditional tele-operation to reduce cognitive load and training requirements. Taylor’s most-cited paper, “A Multi-modal Intelligent User Interface for Supervisory Control of Unmanned Platforms” (2012, 15 citations), pioneered methods for integrating speech, gesture, and touch inputs, allowing users to command robots with natural interactions. This work laid the foundation for more accessible and efficient control of unmanned platforms in complex environments. In a notable application, Taylor explored “Multi-modal Interaction for Robotics Mules” (2017, 8 citations), designing interfaces for dismounted infantry to direct robotic load-carriers using simple, hands-free commands. This research directly addresses the practical needs of military operations, aiming to lighten soldiers’ physical burdens while maintaining situational awareness. By bridging the gap between advanced autonomy and user-friendly control, Taylor’s contributions have significant implications for defense, disaster response, and field robotics. His work continues to shape how humans and robots collaborate in high-stakes, real-world settings.