Papers
6
Total Citations
120
H-Index
5
About
Declan M. Devine is a researcher at the forefront of smart manufacturing, robotics, and human-computer interaction, with a particular focus on the transformative technologies driving Industry 4.0 and beyond. His work spans several interconnected domains, including Shape Memory Alloys (SMAs), digital twin development, and robotic automation, making him a versatile and impactful contributor to modern engineering research. Devine's most cited work — a comprehensive review of SMA-based wearables (48 citations) — illuminates the potential of thermally responsive materials in robotics and human-robot interaction, establishing conceptual frameworks that bridge material science with emerging industrial paradigms. His prolific contributions to digital twin technology, explored through platforms such as Unity, ROS, and Gazebo (29 and 21 citations respectively), have helped establish practical benchmarks for real-time simulation in smart manufacturing environments. His earlier research on 3D-printed end-of-arm tooling (12 citations) demonstrated a pragmatic approach to lean manufacturing through additive techniques, while his MultiROS framework advances autonomous robotics by enabling concurrent deep reinforcement learning simulations. Collectively, Devine's body of work, accumulating over 120 citations, positions him as a compelling voice in the ongoing conversation between physical and virtual industrial systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Comparative Study of Digital Twin Developed in Unity and Gazebo21 citations · 2025
- 43D Printed End of Arm Tooling (EOAT) for Robotic Automation12 citations · 2018
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