Papers

4

Total Citations

56

H-Index

3

About

A. Mallikarjula Rao is a robotics researcher whose work centers on intelligent navigation, autonomous mobile systems, and the integration of computational intelligence with real-world robotic control. His most influential contribution, “Navigation of non-holonomic mobile robot using neuro-fuzzy logic with integrated safe boundary algorithm” (2017, 31 citations), demonstrates a novel fusion of neural networks and fuzzy logic to enable safe, adaptive path planning for non-holonomic platforms—a critical challenge in mobile robotics. He further advanced the field by applying bio-inspired optimization to navigation, as seen in his work on Grey Wolf Colony Optimization (2018, 19 citations) and Ant Colony Optimization (2017, 4 citations), showing how swarm intelligence can guide autonomous decision-making. Notably, his early work “Embedded mobile farm robot for identification of diseased plants” (2013, 2 citations) pioneered the convergence of automated navigation and image processing for agricultural robotics, using GPS-based localization to support precision farming. Across his publications, Rao has consistently addressed the intersection of control theory, optimization algorithms, and embedded systems, contributing practical frameworks for robots operating in unstructured environments. His research offers valuable insights for students and engineers working on autonomous navigation, soft computing, and field robotics.

Research Focus

Key Achievements

3
H-Index
4
Papers
56
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Navigation of non-holonomic mobile robot using neuro-fuzzy logic with integrated safe boundary algorithm
31 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Siddhartha Medical College, Birla Institute of Technology and Science, Pilani

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago