Chinmay Nehate

Papers

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About

Chinmay Nehate is a researcher focused on advancing autonomous robotic systems, with a particular emphasis on Simultaneous Localization and Mapping (SLAM) technologies. His most-cited work, "Implementation and Evaluation of SLAM Systems for a Mobile Robot" (2021), systematically benchmarks multiple SLAM techniques across diverse environments, providing critical performance metrics that guide practitioners in selecting optimal methods for specific use cases. This contribution addresses a fundamental challenge in robotics—ensuring reliable navigation and mapping in real-world conditions. With 3 citations to date, his research offers a practical framework for evaluating SLAM algorithms, bridging the gap between theoretical development and applied robotics. Nehate’s work is especially valuable for students and engineers designing mobile robots for applications ranging from industrial automation to autonomous exploration. By quantifying trade-offs in accuracy, computational efficiency, and environmental adaptability, his findings help streamline the deployment of robust SLAM systems. His research underscores a commitment to rigorous experimental validation, making him a notable contributor to the field of robotic perception and navigation.