Roderick Murray‐Smith

National University of Ireland, University of Glasgow, National University of Ireland, Maynooth, Technical University of Denmark

Papers

Total Citations

H-Index

About

Roderick Murray‐Smith is a pioneering researcher whose work bridges the gap between human-robot interaction, haptics, and intelligent control systems. His key research areas include haptic communication, collaborative robotics, rehabilitation engineering, and machine learning for robotics. Murray‐Smith's major contributions lie in understanding how humans coordinate through touch, as demonstrated in his highly cited work on "Human-human haptic collaboration in cyclical Fitts' tasks" (28 citations), which explores how haptic feedback can improve robotic assistance for dexterous manipulation. His innovative "Haptic dancing" study (25 citations) showed that complex coordination can be achieved purely through haptic signaling, laying groundwork for intuitive human-robot interaction. In rehabilitation robotics, he developed a multimodal robot cell for standing-up motion augmentation (13 citations), integrating functional electrical stimulation with robotic support for paraplegic patients. His earlier work on Local Model Networks (14 citations) provided a foundational framework for combining fuzzy logic and neural networks in practical modeling tasks. With recent contributions to depth super-resolution using incremental guided attention fusion (2024), Murray‐Smith continues to advance robotics and medical imaging, demonstrating sustained impact across decades of research.