Shubhi Katiyar
Papers
4
Total Citations
21
H-Index
3
About
Shubhi Katiyar’s research lies at the intersection of robotics, path planning, and autonomous navigation, with a particular focus on all-terrain rovers (ATRs) operating in complex 3D environments. Her major contribution is the development of novel algorithms for motion planning in “CG-Space”—the locus of a rover’s center of gravity—enabling articulated, high-degree-of-freedom (10 DOF) vehicles to traverse uneven terrain while avoiding static and dynamic obstacles. Katiyar has systematically compared and advanced multiple path-planning approaches, including RRT*, PSO, and modified APF, demonstrating significant improvements in efficiency and safety for real-world applications like space exploration and disaster response. Her most cited work, “Comparative analysis on path planning of ATR using RRT*, PSO, and modified APF in CG-Space” (2022, 9 citations), showcases her ability to benchmark and optimize these algorithms. With a total of 21 citations across her key papers, Katiyar’s research is gaining recognition for addressing the NP-hard challenge of dynamic obstacle avoidance in 3D terrain, a critical step toward autonomous rovers that can operate reliably in unstructured environments. Her work is a valuable resource for students and researchers in field robotics.
Research Focus
Key Achievements
Top Papers
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