R. Senthilnathan
Papers
4
Total Citations
17
H-Index
3
About
R. Senthilnathan is a robotics researcher whose work spans dynamically stable mobile robots, assistive navigation technologies, and collaborative manipulation. His research centers on three key areas: ballbot control systems, navigation aids for the visually impaired, and dual-arm robot path planning. Senthilnathan's most cited work introduces a fuzzy logic-in-loop controller for a novel reduced-height ballbot prototype (6 citations), addressing the unique control challenges of this dynamically stable, omnidirectional mobile robot configuration. He has also developed depth map-based reactive planning systems to assist visually challenged individuals in navigation (5 citations), demonstrating a commitment to accessible robotics. More recently, his Modified BP-RRT* algorithm for collaborative dual-arm robots (4 citations, 2024) offers faster path planning in cluttered industrial environments, while his simulation work on grasp localization for dual-arm systems (2 citations, 2021) advances dexterous manipulation. Senthilnathan's contributions bridge theoretical control systems with practical applications in assistive technology and industrial automation, making his work relevant to researchers in mobile robotics, human-robot interaction, and autonomous navigation.
Research Focus
Key Achievements
Top Papers
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