Papers
5
Total Citations
35
H-Index
4
About
Karnika Biswas is a robotics researcher whose work focuses on the core challenges of autonomous navigation, particularly for mobile robots and pursuit vehicles. Her research addresses critical problems in trajectory planning, collision avoidance, and target tracking, with a strong emphasis on overcoming the limitations of established methods. Her most cited work, "On reduction of oscillations in target tracking by artificial potential field method" (2014, 20 citations), directly tackles the notorious oscillation and local minima problems that plague this popular navigation technique, especially near obstacles and in narrow passages. She has also made significant contributions to improving guidance systems, as seen in her work on Frenet-Serret based trajectory tracking for non-holonomic wheeled mobile robots (2012). More recently, Biswas has advanced the field with an integrated optimal control framework for "Intent-Aware Optimal Collision Avoidance and Trajectory Planning for a Pursuit Vehicle" (2022), which simultaneously manages velocity and steering to ensure safe and effective moving target tracking. Her research, which also includes validated observer-based slip estimation for improved navigation, demonstrates a sustained commitment to developing robust, real-world solutions for autonomous systems operating in dynamic and uncertain environments.
Research Focus
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Top Papers
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