Kuldeep Singh Kaswan

Galgotias University

Papers

7

Total Citations

40

H-Index

4

About

Kuldeep Singh Kaswan is an emerging researcher whose work spans the dynamic intersections of robotics, automation, and intelligent systems. His scholarship is particularly concentrated in robotic process automation (RPA), autonomous navigation, multi-agent systems, and nature-inspired robotics — fields that sit at the forefront of the Fourth Industrial Revolution. Kaswan's most impactful contribution, "Robotic Process Automation in Healthcare" (2023), has garnered 13 citations, reflecting growing scholarly interest in applying RPA to transform medical workflows and patient care delivery. His broader research agenda extends this automation expertise into the financial sector, manufacturing, and agricultural technology, demonstrating a versatile and applied research vision. Notably, his book "Nature Inspired Robotics" (2024) introduces bio-inspired artificial intelligence frameworks, bridging theoretical foundations with real-world robotic applications. His exploration of multi-agent systems within Industry 4.0 contexts underscores a forward-thinking awareness of how distributed intelligent systems are reshaping global production paradigms. With works addressing the human resource implications of robotics in manufacturing, Kaswan also thoughtfully engages with the societal dimensions of automation. Though relatively early in his citation trajectory, his diverse and rapidly growing publication record signals a researcher poised to make increasingly significant contributions to robotics and intelligent automation research.

Research Focus

Key Achievements

4
H-Index
7
Papers
40
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Process Automation in Healthcare
13 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Galgotias University

Top Papers

  1. 1
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  3. 3
    Introduction to Robotics
    6 citations · 2024
  4. 4
  5. 5
    Nature Inspired Robotics
    4 citations · 2024
  6. 6
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago