Anushri Rajendran
Papers
1
Total Citations
4
H-Index
1
About
Anushri Rajendran is a forward-thinking researcher at the intersection of artificial intelligence, human-robot collaboration, and Industry 5.0 enterprise architectures. Her work addresses the critical safety challenges arising from the integration of collaborative robots (cobots) into modern manufacturing environments. In her most-cited paper, she introduces a Multi-Agent Safety System (MASS) that leverages Principal Component Analysis (PCA) to enhance real-time decision-making and hazard detection in human-robot workspaces. This contribution is pivotal for enabling safe, efficient, and human-centric automation within the Industry 5.0 paradigm. Rajendran’s research is gaining traction as industries worldwide seek to balance productivity with worker safety. Her work not only advances theoretical frameworks but also offers practical solutions for deploying intelligent, adaptive safety systems in smart factories. With her innovative approach to multi-agent coordination and data-driven safety, Rajendran is establishing herself as a key voice in the next generation of industrial automation research.
Research Focus
Key Achievements
Top Papers
- 1