Harshang Shah

AbbVie (United States)

Papers

1

Total Citations

17

H-Index

1

About

Harshang Shah is a robotics and automation researcher whose work focuses on developing intelligent systems for harsh industrial environments, particularly in the mining sector. His most-cited paper, "A Robotic Vehicle System for Conveyor Inspection in Mining" (2019, 17 citations), introduces a novel rail-guided robotic platform designed as a sensor carrier for condition monitoring of belt conveyors. This contribution addresses the critical challenge of equipment inspection in demanding mining conditions, integrating mechanical design, electronics, and embedded control systems to enhance safety and operational efficiency. Shah’s research demonstrates a practical, interdisciplinary approach to automating inspection tasks that are traditionally hazardous or labor-intensive. By creating a robotic solution tailored to the unique constraints of mining infrastructure, he has laid groundwork for more resilient and autonomous monitoring systems. His work is particularly relevant for students and researchers interested in field robotics, industrial automation, and the application of embedded systems in extreme environments. With a focus on translating engineering principles into deployable solutions, Shah’s contributions highlight the growing role of robotics in improving reliability and reducing human risk in heavy industries.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
A Robotic Vehicle System for Conveyor Inspection in Mining
17 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: AbbVie (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago