Jagjit Singh Dhatterwal

Koneru Lakshmaiah Education Foundation

Papers

7

Total Citations

40

H-Index

4

About

Jagjit Singh Dhatterwal is an emerging researcher whose work sits at the dynamic intersection of robotics, automation, and intelligent systems. His scholarship spans several interconnected domains, including robotic process automation (RPA), autonomous navigation, multi-agent systems, and nature-inspired robotics, reflecting a broad commitment to advancing both the theoretical foundations and real-world applications of intelligent technologies. Among his most recognized contributions is his exploration of RPA in healthcare and financial sectors, examining how automation reshapes operational efficiency and organizational structure. His work on autonomous navigation systems for crop investigation demonstrates a keen interest in agricultural robotics, while his investigations into Industry 4.0 and multi-agent systems address the paradigm shifts reshaping modern manufacturing. His authored works, including *Introduction to Robotics* and *Nature Inspired Robotics*, position him as an educator as well as a researcher, translating complex AI and bio-inspired methodologies into accessible frameworks for students and practitioners alike. With a growing citation record accumulating across publications from 2022 to 2024, Dhatterwal represents a prolific voice in applied robotics research. His interdisciplinary perspective — connecting robotics with HR, finance, agriculture, and healthcare — makes his work particularly valuable for researchers navigating the societal implications of automation.

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: Koneru Lakshmaiah Education Foundation

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 · 15 days ago