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About

Katla Mrudul is a researcher specializing in robotics, with a primary focus on biped robot navigation and path planning. Their work centers on developing efficient algorithms that enable two-legged robots to move autonomously through complex, static, and dynamic environments—a challenging problem in mobile robotics. Mrudul’s major contribution lies in advancing the Fast Marching Method (FMM) for real-time path planning. Their most-cited paper, “An Efficient Path Planning Algorithm for Biped Robot using Fast Marching Method” (2018, 22 citations), introduced a novel approach to navigating known and unknown terrains. Building on this, they developed a hybrid FMM combined with regression search in “Dynamic Motion Planning Algorithm for a Biped Robot Using Fast Marching Method Hybridized with Regression Search” (2019, 10 citations), enabling dynamic obstacle avoidance. Another notable work, “Application of hybrid fast marching method to determine the real-time path for the biped robot” (2018, 9 citations), further demonstrates their impact in real-time navigation. With over 40 total citations across these key papers, Mrudul’s research is foundational for students and engineers working on legged locomotion, offering practical solutions for robots operating in human-centric spaces.