Luke Payne

Papers

Total Citations

H-Index

About

Luke Payne is a researcher in human-robot interaction, with a focus on developing autonomous systems that can engage naturally with people. His work centers on the modelling and implementation of humanoid robot behaviour, particularly in social contexts such as guided tours and interactive scenarios. His most cited paper, "Modelling and Implementation of Humanoid Robot Behaviour" (2017, 16 citations), introduces a framework for analyzing and enabling flexible interaction between humans and autonomous robots. This research contributes to the broader goal of creating robots that can adapt their behaviour in real-time, making them more effective in public-facing roles. Payne’s work is notable for its emphasis on practical, real-world applications of humanoid robotics, bridging the gap between theoretical models and tangible implementation. Though his citation count is modest, his contributions are valuable to the growing field of socially assistive robotics, where understanding and designing for human-robot interaction is key. His research offers a foundation for future work in autonomous systems that can operate safely and intuitively alongside people.