Papers
7
Total Citations
102
H-Index
3
About
Jawad Masood is a leading researcher at the intersection of industrial robotics, wearable technology, and human-machine collaboration. His primary research areas include industrial exoskeleton technology, wearable robotics, and cyber-physical systems, with a strong focus on ergonomic solutions for manufacturing and shipyard environments. Masood’s most influential work, “Industrial Exoskeleton Technology: Classification, Structural Analysis, and Structural Complexity Indicator” (2019), has garnered 83 citations and provides a foundational framework for understanding and categorizing exoskeleton systems, offering a novel structural complexity indicator that has become a key reference in the field. His contributions extend to practical applications, such as the “CO-GUIDING” hand guidance system for car door assembly, which demonstrates his commitment to translating research into tangible ergonomic improvements. Masood has also addressed the unique challenges of implementing advanced technologies in small and medium shipyards through the Mari4_YARD project, highlighting his ability to tackle real-world industrial problems. With additional work in pseudo-elastic wire applications and embedded force sensors for grasp monitoring, Masood’s research consistently bridges theoretical innovation with practical impact, making him a notable figure in advancing human-centered automation and wearable robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Wearable Robotics: Challenges and Trends9 citations · 2021
- 3
- 4
- 5Pseudo-elastic wire application in robotized cutting systems2 citations · 2012
- 6
- 7