Douglas Creighton

Papers

Total Citations

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About

Douglas Creighton’s research lies at the intersection of robotics, human-autonomy teaming, and intelligent sensing, with a focus on enhancing safety and performance in hazardous environments. His early work pioneered fuzzy haptic augmentation for telerobotic stair climbing, improving operator control in dangerous settings. He advanced autonomous image fusion for mobile robots navigating nuclear cores and disaster zones, enabling better data collection and navigation. Creighton also contributed to body parts segmentation using RGB-D imaging, a key technique for people detection in robotics, ergonomics, and biomechanics, with applications from gaming to automotive safety. His recent work explores trust in human-autonomy teaming, addressing the critical dynamics of decision-making and situational awareness in increasingly sophisticated autonomous systems. With over 22 citations for his segmentation work and 18 for image fusion, Creighton’s research has shaped practical solutions for real-world challenges. His contributions to telerobotics and human-robot interaction continue to influence fields ranging from disaster response to advanced manufacturing, making him a notable figure in applied robotics and autonomous systems.