Omkar Shivling Gurav

Papers

Total Citations

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About

Omkar Shivling Gurav is a robotics researcher whose work focuses on advancing autonomous navigation and mapping for mobile robots in industrial settings. His key research areas include Simultaneous Localization and Mapping (SLAM), path planning algorithms, and odometry systems. Gurav’s most notable contribution is the development of a SLAM framework that integrates the Anytime Dynamic A* (AD*) algorithm with absolute odometry, enabling more efficient and adaptive navigation in dynamic environments. This work, published in 2021, addresses critical challenges in industrial applications such as assembly line automation, warehouse logistics, and smart grid inspection. While his citation count of 2 reflects early-stage impact, the research demonstrates a strong foundation in combining real-time path planning with robust localization techniques. Gurav’s work is particularly relevant for students and researchers interested in practical SLAM solutions for real-world robotics, bridging the gap between theoretical algorithms and industrial deployment. His focus on absolute odometry integration offers a promising direction for improving accuracy and reliability in autonomous systems.