Kashyap Gopalbhai Dobaria

Edinburgh Napier University

Papers

1

Total Citations

1

H-Index

1

About

Kashyap Gopalbhai Dobaria is a forward-thinking researcher at the intersection of industrial automation and intelligent systems, with a core focus on retrofitting legacy manufacturing equipment for the Industry 4.0 era. His most cited work, "Retrofitting Legacy AGV with Low-Cost LIDAR and Industry 4.0 Technologies for Autonomous Navigation," demonstrates a pragmatic approach to modernising Industry 3.0 infrastructure. By integrating affordable LIDAR sensors and I4.0 connectivity into existing Automated Guided Vehicles (AGVs), Dobaria provides a cost-effective blueprint for enabling autonomous navigation without full system replacement. This contribution is vital for small-to-medium enterprises seeking to adopt smart factory principles. While his work is early in its citation lifecycle, its practical relevance—developed at Edinburgh—positions it as a foundational reference for sustainable industrial digitalisation. Dobaria’s research bridges the gap between legacy hardware and cutting-edge autonomy, offering scalable solutions that reduce waste and accelerate the transition to intelligent manufacturing.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Retrofitting Legacy AGV with Low-Cost LIDAR and Industry 4.0 Technologies for Autonomous Navigation
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Edinburgh Napier University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago