Amit Mithal

Papers

Total Citations

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About

Amit Mithal is a researcher focused on advancing the frontier of robotic perception and autonomous navigation. His primary research areas include Simultaneous Localization and Mapping (SLAM) and the application of machine learning to enhance robotic localization in complex environments. Mithal’s most notable contribution is his work on optimizing localization algorithms through the use of General-Purpose computing on Graphics Processing Units (GP-GPU), a novel approach that significantly accelerates the computational efficiency of mapping in unknown terrains. His highly cited paper, *"A Novel Approach to Localized a Robot in a Given Map with Optimization Using GP-GPU"* (2020, 5 citations), demonstrates this breakthrough, offering a practical solution for real-time robotic movement in predefined maps. Additionally, his chapter *"Application of machine learning in SLAM algorithms"* (2021, 3 citations) provides a comprehensive overview of how ML techniques can refine SLAM’s core objective—enabling robots to navigate and map unknown environments autonomously. With a total of 8 citations across his most-cited works, Mithal’s research is laying critical groundwork for more intelligent, efficient robotic systems, making him a promising voice in the fields of robotics and computational optimization.