Monex Sharma

National Institute of Technology Warangal

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Total Citations

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About

Monex Sharma is a researcher whose work lies at the intersection of robotics, optimization, and artificial intelligence, with a primary focus on advancing the field of coverage path planning (CPP) for mobile robots. His research addresses a critical challenge in autonomous navigation: ensuring that a robot can systematically visit every point in a given area while avoiding obstacles, all while optimizing for multiple, often conflicting, objectives. Sharma’s major contributions are centered on the development of multi-objective optimization frameworks, particularly leveraging genetic algorithms. His most cited work, "Multi-objective optimization approach for coverage path planning of mobile robot" (2024, 13 citations), introduces a novel method that balances trade-offs such as minimizing total travel distance and reducing the number of turns, which is crucial for energy efficiency in real-world applications. This paper has quickly gained traction, reflecting its relevance to the robotics community. An earlier study, "An Effective Genetic Algorithm Based Multi-objective Optimization Approach for Coverage Path Planning of Mobile Robot" (2022, 2 citations), laid the groundwork for these ideas. Sharma’s research is particularly impactful for applications in agricultural robotics, search-and-rescue missions, and industrial inspection, where efficient and complete coverage is paramount.