Muneendra Ojha
Papers
2
Total Citations
4
H-Index
2
About
Muneendra Ojha is a robotics researcher specializing in multi-robot coordination and autonomous navigation, with a focus on solving complex path planning challenges in unstructured environments. His primary research areas include multi-robot coverage path planning (mCPP), grid-based and non-grid-based path planning algorithms, and area decomposition strategies for robotic swarms. Ojha’s major contribution lies in addressing the Divide Area based on Robot’s Initial Positions (DARP) problem, a critical challenge in multi-robot systems where efficient motion sequences must be devised to cover all positions within a workspace while avoiding obstacles. His 2024 paper on this topic has already garnered attention for its practical implications in search-and-rescue, agriculture, and industrial inspection. In his 2023 comparative study, Ojha systematically evaluated grid-based and non-grid-based path planning methods, providing a foundational framework for researchers selecting algorithms for mobile robot navigation. Though early in his career, his work is building momentum, with each publication cited twice, reflecting growing interest from the robotics community. Ojha’s research is particularly valuable for students and engineers seeking scalable solutions for real-world multi-robot coverage tasks.
Research Focus
Key Achievements
Top Papers
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