Sai Vikas Maram

Papers

Total Citations

H-Index

About

Sai Vikas Maram is an emerging researcher in engineering education and robotics, with a focus on making complex kinematic concepts accessible to students. His most cited work, "Effective Teaching and Learning of Homogenous Transformation Matrix using RoboAnalyzer Software" (2019, 4 citations), addresses a critical challenge in robotics pedagogy: the intuitive understanding of Homogenous Transformation Matrices (HTMs), which combine rotation and translation to describe a robot’s position and orientation. By integrating RoboAnalyzer—a 3D visualization tool—Maram demonstrates how interactive software can bridge the gap between abstract mathematical theory and practical application, enhancing student engagement and comprehension in interdisciplinary engineering courses. This contribution is particularly valuable for educators seeking to modernize robotics curricula, as it provides a replicable framework for teaching foundational concepts. While his citation count is modest, Maram’s work underscores a growing emphasis on technology-enhanced learning in STEM, positioning him as a thoughtful contributor to the scholarship of teaching and learning. His research aligns with broader efforts to democratize robotics education, making it more approachable for undergraduates and early-career engineers.