Papers

3

Total Citations

10

H-Index

2

About

Parag J. Tarwadi is a robotics researcher whose work bridges intelligent automation and practical field applications. His primary research areas include neural network-based speech recognition for mobile robot navigation, vision-guided robotic manipulation, and the design of specialized underwater robotic systems. In his most cited work, Tarwadi developed a speech recognition system that enables mobile robots to interpret voice commands, achieving 4 citations and demonstrating a novel human-robot interaction pathway. He also contributed a significant design for a compact, economical observation-class Remotely Operated Vehicle (ROV) for shallow-water marine inspections—addressing critical needs in ship hull maintenance and underwater debris monitoring. His earlier work on a vision-based pick-and-place robot for color sorting, using MATLAB, laid foundational skills in automated material handling. Though his citation counts are modest, Tarwadi’s contributions are notable for their applied focus: combining neural network control with real-world robotic systems, from factory floors to underwater environments. His research reflects a commitment to making robotics more accessible and functional in both industrial and environmental contexts.

Research Focus

Key Achievements

2
H-Index
3
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Speech Recognition Using Neural Network for Mobile Robot Navigation
4 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Auckland, Vellore Institute of Technology University

Top Papers

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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago