Sheela Ramanna
Papers
7
Total Citations
102
H-Index
6
About
Sheela Ramanna is a pioneering researcher in intelligent systems, robotics, and computational intelligence, with a career spanning over two decades. Her work uniquely bridges rough set theory, neurocomputing, and pattern-based design to create robust, adaptive systems capable of operating under uncertainty. She is best known for foundational contributions to rough neurocomputing, a paradigm she applied to robot control architectures—most notably in line-crawling robots, where her rough set approach to obstacle classification and sensor signal analysis (e.g., her 2003 and 2007 papers, with 17 and 12 citations, respectively) enabled more reliable navigation. Ramanna also introduced the concept of "rough ethograms" (2006, 26 citations) for studying intelligent system behavior, and advanced architectural patterns for intelligent systems engineering (2004, 7 citations). Her most recent work (2025, 28 citations) extends into speech emotion recognition using lightweight deep neural ensembles, demonstrating her adaptability to modern AI challenges. With a career that integrates theoretical rigor and practical robotics—including wireless agent guidance and robotic perception of dwelling—Ramanna’s research has influenced both autonomous systems and human-computer interaction, earning her recognition as a key figure in rough set-inspired robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Rough Ethograms: Study of Intelligent System Behavior26 citations · 2006
- 3Line-Crawling Robot Navigation: A Rough Neurocomputing Approach17 citations · 2003
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- 5
- 6Intelligent system design and architectural patterns7 citations · 2004
- 7Robotic perception of dwelling: threshhold of thinking machines2 citations · 2002