Papers

2

Total Citations

5

H-Index

2

About

Arun Arun is a robotics researcher focused on developing autonomous systems for critical real-world applications, including assistive robotics and hazardous environment exploration. His work in "Design and simulation of an assistant robot for indoor office applications" (2022, 3 citations) explores how robotic platforms can enhance productivity and support daily tasks in indoor settings, addressing the growing demand for human-robot collaboration in domestic and professional spaces. In a more safety-critical domain, his paper "Landmine Detection and Underwater Mine Analysis" (2023, 2 citations) advances the design of specialized detection robots equipped with metal detectors and camera-based sensing to locate buried landmines, a vital technology for post-conflict regions and humanitarian demining. Though early in his career, Arun’s research demonstrates a clear commitment to socially impactful robotics—from office assistance to life-saving mine detection. His contributions highlight the potential of robotic systems to improve both everyday convenience and global safety, making him a promising voice in the field of assistive and autonomous robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Design and simulation of an assistant robot for indoor office applications
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Karunya University, MVJ Medical College and Research Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago