Sumit Gajjar

Papers

Total Citations

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About

Sumit Gajjar is a robotics researcher whose work centers on autonomous navigation and path planning for mobile robots. His most cited contribution, "Complete coverage path planning algorithm for known 2d environment" (2017), addresses a critical challenge in robotics: enabling a robot to systematically traverse every point in a given space. This is essential for applications like automated cleaning, lawn mowing, and inspection. Unlike simple point-to-point navigation, Gajjar’s algorithm ensures full area coverage while optimizing for efficiency and avoiding obstacles. With 21 citations, this work has provided a foundational reference for researchers developing practical, real-world autonomous systems. Gajjar’s research bridges the gap between theoretical path-planning primitives and deployable solutions, making him a notable contributor to the field of mobile robotics. His focus on known environments and complete coverage continues to influence subsequent work in autonomous exploration and service robotics.