S. Parasuraman

Monash University

Papers

1

Total Citations

7

H-Index

1

About

S. Parasuraman is a researcher whose work centers on robotics, autonomous systems, and intelligent control, with a particular focus on mobile robot navigation and sensor fusion technologies. His most recognized contribution explores the integration of fuzzy associative memory with sensor fusion techniques to enhance mobile robot navigation in complex environments. This work addresses a critical challenge in autonomous robotics: efficiently processing multi-sensor environmental data while optimizing rule-base computation to enable real-time, realistic task performance. By reducing computational overhead without sacrificing navigational accuracy, Parasuraman's approach offers practical advancements for deploying robots in dynamic, unstructured settings. His research sits at the intersection of computational intelligence and robotics, applying soft computing methodologies such as fuzzy logic to solve real-world engineering problems. While his citation record reflects work at an emerging stage of recognition, with his sensor fusion paper accumulating 7 citations, his contributions speak to an important niche in autonomous navigation research. His work will be of particular interest to students and researchers exploring intelligent robotic systems, human-robot interaction, and AI-driven control architectures in complex operational environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Sensor Fusion for Mobile Robot Navigation: Fuzzy Associative Memory
7 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 0
🏛 Institutions: Monash University

Top Papers

  1. 1

Contact & Links

Available for collaboration
Content generated · 14 days ago