Zainab Saleem
Papers
1
Total Citations
30
H-Index
1
About
Zainab Saleem is a leading researcher in human-robot collaboration, with a primary focus on sensor integration and safety systems for collaborative robotics. Her most-cited work, "A review of external sensors for human detection in a human robot collaborative environment" (2024, 30 citations), provides a comprehensive analysis of sensor technologies that enable safe, intuitive human-robot interaction in manufacturing settings. This review has become a foundational reference for researchers and engineers working to replace traditional industrial robots with more adaptable, cost-effective collaborative robots (cobots). Saleem’s contributions center on advancing the intelligence and autonomy of cobots through external sensing—enabling them to detect, track, and respond to human presence in shared workspaces. Her work addresses critical challenges in industrial safety, human detection accuracy, and system responsiveness, directly supporting the shift toward more flexible and human-centric manufacturing environments. By synthesizing state-of-the-art sensor technologies and identifying key gaps in current approaches, Saleem has helped shape the trajectory of collaborative robotics research. Her insights are particularly valuable for students and practitioners seeking to understand how sensor-driven perception can make cobots safer, smarter, and more independent in real-world industrial applications.
Research Focus
Key Achievements
Top Papers
- 1