Papers
1
Total Citations
4
H-Index
1
About
BP Mishra has made notable contributions to the field of autonomous robotics, with a primary focus on precise localization in outdoor environments. Their most cited work, "EKF Based GPS/Odometer Data Fusion For Precise Robot Localization In Outdoor Environment" (2014), addresses a critical challenge in mobile robotics: achieving accurate position estimation despite the individual limitations of GPS and odometry sensors. Mishra’s key contribution lies in developing an Extended Kalman Filter (EKF)-based data fusion technique that intelligently combines the strengths of both sensors—GPS’s global positioning capability and odometer’s local dead-reckoning—to produce a more reliable and precise localization solution for outdoor autonomous robots. This work has garnered 4 citations, reflecting its relevance to researchers tackling sensor fusion problems in robotics. While Mishra’s publication record is focused, their research demonstrates a clear understanding of practical implementation issues in real-world autonomous navigation, offering a foundation for further advancements in robust robot localization systems.
Research Focus
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Top Papers
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