Myles Flanagan
Papers
4
Total Citations
37
H-Index
3
About
Myles Flanagan is a rising researcher in human-robot collaboration, focusing on how robots and humans can work together safely and effectively in manufacturing and industrial settings. His work bridges robotics, wearable sensing, and data-driven modeling to improve physical human-robot interaction. His most cited paper, "Effective Human-Robot Collaboration Through Wearable Sensors" (2020, 24 citations), explores how wearable technology can enhance task performance during collaborative manipulation. Flanagan also investigates human-human co-manipulation using force and muscle activity data (2021, 8 citations), providing foundational insights for designing more intuitive robot partners. His research extends to mobile robots for collaborative manipulation over uneven terrain using decentralized impedance control (2023), and he has contributed to the emerging concept of Industrial Robot-as-a-Service (IRaaS, 2024), which aims to make industrial robotics accessible to small and medium enterprises through flexible, on-demand rental models. Flanagan’s work is notable for its practical focus on real-world manufacturing challenges, integrating sensing, control, and business models to advance the next generation of collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1Effective Human-Robot Collaboration Through Wearable Sensors24 citations · 2020
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