U. Yogitha

Papers

Total Citations

H-Index

About

U. Yogitha is a researcher specializing in embedded systems, human-robot interaction, and mechatronic design. Her most-cited work, "Humanoid gesture control ARM with manifold actuation by embedded system" (2020), has garnered 12 citations, demonstrating her contribution to intuitive human-machine interfaces. In this paper, she pioneered a method for controlling a humanoid robotic arm through gesture recognition, integrating manifold actuation with embedded system processing to enable seamless, real-time manipulation. This innovation holds promise for assistive robotics and industrial automation, where natural user commands can replace complex programming. Yogitha’s research bridges hardware and software, focusing on making robotic systems more accessible and responsive. Her work is particularly notable for its practical approach to embedding intelligence in low-cost, compact platforms, advancing the field of gesture-based control. As a researcher, she continues to explore the intersection of embedded systems and robotics, aiming to enhance the adaptability of autonomous machines. Her contributions are valuable for students and engineers interested in developing intuitive, efficient robotic systems for real-world applications.