Papers

2

Total Citations

5

H-Index

2

About

N. Kumareshan is an emerging researcher in the intersection of artificial intelligence, robotics, and the Internet of Things (IoT), with a focused interest in human-robot interaction and automation. His most cited work, "A DT Framework based AI Robot For Facial Recognition using IoT" (2023, 3 citations), introduces a digital twin framework that integrates AI and IoT for real-time facial and emotion recognition, aiming to enhance the responsiveness and naturalness of robotic systems in human-centric environments. This contribution is significant for advancing empathetic human-robot collaboration, particularly in assistive and service robotics. In his related study, "Virtual Image Processing for Robot Automation" (2022, 2 citations), Kumareshan explores the role of virtual environments in enabling more intuitive and spontaneous human-robot interactions, laying groundwork for immersive automation systems. Although his citation counts are currently modest, his work represents a forward-looking synthesis of AI, IoT, and virtual reality technologies. Kumareshan’s research is particularly relevant for students and engineers interested in building intelligent, context-aware robotic systems that can perceive and respond to human emotional states.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A DT Framework based AI Robot For Facial Recognition using IoT
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Sri Eshwar College of Engineering, Institute of Engineering

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago