Papers
5
Total Citations
105
H-Index
4
About
M. Murugan is a robotics and autonomous systems researcher whose work centers on mobile robot navigation, path planning, and robotic software architecture. His most influential contribution, a 2015 survey on indoor human-aware autonomous mobile robot navigation (51 citations), established a foundational reference for researchers tackling the complexities of dynamic, obstacle-rich indoor environments — a problem central to real-world robotic deployment. This work systematically examined diverse path planning algorithms, making it an essential resource for both newcomers and seasoned practitioners in the field. Murugan has also made notable strides in bio-inspired robotics, designing a modular snake robot capable of mapping and navigation for Urban Search and Rescue (USAR) applications, earning 23 citations for its innovative approach to terrain adaptability. His review of software architecture styles, with a focus on layered robotic frameworks (15 citations), reflects his broader interest in bridging hardware capability with robust software design principles. More recently, his development of the Realistic and Optimal Path Planning Algorithm (ROPPA) for real-time indoor navigation demonstrates a continued commitment to practical, deployable robotic solutions. With a research profile spanning algorithmic, mechanical, and software dimensions of robotics, Murugan's work offers valuable insights for students and engineers advancing intelligent autonomous systems.
Research Focus
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