Manish Aradwad

Papers

1

Total Citations

3

H-Index

1

About

Manish Aradwad is a robotics researcher whose work centers on autonomous navigation, particularly the implementation and evaluation of Simultaneous Localization and Mapping (SLAM) systems for mobile robots. His most-cited paper, "Implementation and Evaluation of SLAM Systems for a Mobile Robot" (2021), addresses a critical challenge in robotics: selecting the optimal SLAM technique for specific environments. By systematically comparing the performance of various SLAM algorithms, Aradwad provides a practical framework for researchers and engineers to make informed decisions when deploying autonomous systems. This work, with 3 citations, serves as a foundational reference for those seeking to benchmark SLAM methods in real-world applications. Aradwad’s contributions are especially valuable for students and practitioners entering the field, as he demystifies the trade-offs between accuracy, computational efficiency, and environmental adaptability. His research underscores the importance of rigorous evaluation in advancing autonomous robotics, making him a key voice in the ongoing effort to build reliable, perception-driven mobile robots.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Implementation and Evaluation of SLAM Systems for a Mobile Robot
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago