Papers
2
Total Citations
13
H-Index
2
About
Ritesh Kumar Singh is a researcher whose work bridges robotics and precision manufacturing, with a focus on optimizing autonomous navigation and micro-machining processes. His most cited paper, "Optimized Angular A Star Algorithm for Global Path Search Based on Neighbor Node Evaluation" (2014, 8 citations), introduces a refined path-planning algorithm for electromechanical robots. By evaluating neighbor nodes to improve the efficiency of global path searches, Singh’s work enhances robotic autonomy, making it applicable to tasks requiring precise, human-like movement in dynamic environments. This contribution is foundational for researchers developing smarter, more responsive robotic systems. In parallel, Singh’s research in micro-EDM drilling, notably in "Simultaneous parametric optimization of micro-EDM drilling of brass C360 using Taguchi based grey relation analysis" (2021, 5 citations), addresses critical challenges in precision manufacturing. By applying Taguchi methods and grey relational analysis, he optimizes parameters for drilling micro-holes in brass—a material vital for fuel nozzles, surgical instruments, and robotic sensors. This work demonstrates his ability to enhance manufacturing efficiency and accuracy, directly impacting industries reliant on micro-components. With a growing citation footprint, Singh’s interdisciplinary contributions to robotics and advanced machining underscore his role in advancing both autonomous systems and precision engineering.
Research Focus
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Top Papers
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