Papers

5

Total Citations

104

H-Index

4

About

Nihar Hasmukhbhai Shah is a leading researcher in advanced manufacturing robotics, specializing in high-precision automation for large-scale industrial applications, particularly in aerospace. His work centers on enhancing robotic accuracy, real-time path correction, and virtual simulation for complex manufacturing processes. Shah’s most impactful contribution is his pioneering approach to improving the absolute positioning accuracy of industrial milling robots using stereo camera systems, a method that has garnered 47 citations and set a new standard for robotic machining. He further advanced the field with a mobile robotic system for machining large aircraft components (37 citations), demonstrating a scalable solution for oversized workpieces. Shah also developed real-time path correction techniques for adhesive application on composite structures (14 citations), addressing critical challenges in automotive and aircraft manufacturing. His recent work on accurate robot simulation using FMI and DCP standards (5 citations) and efficient validation of control program changes through virtual commissioning (1 citation) underscores his commitment to optimizing production efficiency. With over 100 total citations, Shah’s research bridges the gap between theoretical robotics and practical industrial deployment, making him a key figure in the evolution of automated manufacturing systems.

Research Focus

Key Achievements

4
H-Index
5
Papers
104
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Enhanced Absolute Accuracy of an Industrial Milling Robot Using Stereo Camera System
47 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Fraunhofer Institute for Manufacturing Technology and Advanced Materials, Airbus (Germany)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago