Papers

3

Total Citations

17

H-Index

2

About

Narender Chinthamu is an emerging researcher whose work sits at the dynamic intersection of artificial intelligence, robotics, and industrial automation. His research primarily explores how cutting-edge technologies — including AI-driven systems, machine learning, and robotic process automation — can be harnessed to transform both manufacturing environments and broader business operations. Chinthamu's most influential contribution, "Development of Product Quality with Enhanced Productivity in Industry 4.0 with AI Driven Automation and Robotic Technology" (2023), has already garnered 10 citations, underscoring its relevance to the rapidly evolving Industry 4.0 landscape. His subsequent work on digital twin frameworks and microcontroller-integrated robotic systems demonstrates a sophisticated understanding of how AI and IoT convergence can enhance decision-making and lifecycle management in industrial settings. More recently, his investigation into Robotic Process Automation addresses a critical gap in the literature by moving beyond theoretical claims to examine real-world operational validation. With a growing citation record across multiple high-impact topics, Chinthamu represents a productive voice in applied automation research, making his work particularly valuable for students and practitioners navigating the future of intelligent manufacturing and business process optimization.

Research Focus

Key Achievements

2
H-Index
3
Papers
17
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Development of Product Quality with Enhanced Productivity in Industry 4.0 with AI Driven Automation and Robotic Technology
10 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Massachusetts Institute of Technology, International Craniofacial Institute

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago