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About

Koduru Suresh is a robotics researcher whose work centers on autonomous navigation and path planning for mobile robots, with a particular emphasis on industrial automation. His primary contributions lie in developing optimization algorithms for robot path planning, most notably through the application of multi-objective genetic algorithms. His most cited work, "Mobile robot path planning using multi-objective genetic algorithm in industrial automation" (2022, 46 citations), introduced the MRPS-MOGA framework, which addresses the computational complexity of path optimization in dynamic industrial environments. This work has become a key reference for researchers tackling multi-objective optimization in robotics. Suresh has also explored layered approaches for three-dimensional collision-free navigation using genetic algorithms (2015), and integrated Internet of Things technologies for telepresence mobile robot control and real-time detection (2016). His research consistently bridges theoretical optimization methods with practical industrial applications, making his work valuable for both academic researchers and engineers developing autonomous systems for manufacturing and logistics.