Waqas Akbar Lughmani

Capital University of Science and Technology

Papers

6

Total Citations

61

H-Index

5

About

Waqas Akbar Lughmani is a prominent researcher at the intersection of human-robot collaboration, cyber-physical production systems, and smart manufacturing, with a body of work that has accumulated over 60 citations across his most influential publications. His research addresses one of Industry 4.0's most pressing challenges: enabling safe, efficient, and psychologically comfortable collaboration between human workers and intelligent robotic systems in shared factory environments. Lughmani's contributions span both technical and human-centered dimensions of smart manufacturing. His pioneering 2019 work on exploiting visual cues for cyber-physical production systems (22 citations) laid early groundwork for leveraging computer vision to enhance worker safety alongside autonomous machines. He has since developed connective frameworks that not only address physical safety but also consider the cognitive and psychological well-being of human operators — a notably underexplored dimension in the field. His 2023 biomechanical modeling study of human-robot accident scenarios demonstrates rigorous computational approaches to injury risk assessment involving heavy-payload robots. What distinguishes Lughmani's portfolio is its holistic vision: bridging robotics engineering, social intelligence, and human factors to design collaborative systems that are simultaneously productive, safe, and human-aware — making his work essential reading for researchers and engineers shaping the future of intelligent manufacturing.

Research Focus

Key Achievements

5
H-Index
6
Papers
61
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Exploiting visual cues for safe and flexible cyber-physical production systems
22 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Capital University of Science and Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago