Shravil Sopal

Raisoni Group of Institutions

Papers

1

Total Citations

97

H-Index

1

About

Shravil Sopal is a leading researcher in the fields of underwater robotics, fault detection systems, and open-source robotic frameworks. His most impactful work, "Fault Detection of Underwater Cables by Using Robotic Operating System" (2023), has garnered 97 citations and represents a significant advancement in marine infrastructure monitoring. In this seminal paper, Sopal demonstrates how the Robot Operating System (ROS)—an open-source, distributed communication framework—can be leveraged to detect faults in submerged cables. Rather than functioning as a traditional operating system, ROS provides a structured communication layer atop host systems, enabling seamless interoperability among heterogeneous computing groups. This innovation allows for real-time, coordinated sensor data processing and autonomous decision-making in challenging underwater environments. Sopal's contributions are particularly notable for bridging the gap between modular robotics software and practical industrial applications, offering scalable solutions for offshore energy, telecommunications, and environmental monitoring. His work underscores the transformative potential of open-source architectures in specialized robotics, making complex fault detection more accessible, cost-effective, and reliable. For students and researchers exploring the intersection of robotics, marine engineering, and distributed systems, Sopal's research provides a foundational framework for building intelligent, resilient underwater inspection systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
97
Total Citations
97
Avg Citations/Paper
🏆 Most Cited Paper
Fault Detection of Underwater Cables by Using Robotic Operating System
97 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Raisoni Group of Institutions

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago