M. Jayaraju

APJ Abdul Kalam Technological University

Papers

Total Citations

H-Index

About

M. Jayaraju is a robotics researcher whose work focuses on autonomous navigation and path planning for mobile robots. His key contributions lie in developing and comparing algorithms that enable robots to navigate cluttered environments efficiently. In his most cited work, "Performance analysis of path planning techniques for autonomous mobile robots" (2015, 12 citations), Jayaraju conducted a comparative study of four established path planning algorithms and introduced his own method—the free configuration eigen-spaces (FCE) approach—demonstrating its superior performance in obstacle-dense settings. This work provides a foundational benchmark for researchers selecting or designing navigation strategies. In a related study, "A trajectory learner for sonar based LEGO NXT differential drive robot" (2014, 4 citations), he developed a trajectory learning algorithm that combines vehicle odometry with sensor scanning data to identify obstacle-free paths, showcasing practical implementation on accessible hardware. While Jayaraju’s citation counts reflect a focused, early-stage impact, his comparative methodology and the introduction of the FCE technique offer valuable insights for students and engineers working on autonomous robot navigation. His work bridges theoretical path planning with real-world robotic platforms, making it a useful reference for those entering the field of mobile robotics.