Mriganka Bharali

National Institute Of Technology Silchar

Papers

Total Citations

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About

Mriganka Bharali is a researcher in robotics and autonomous systems, with a primary focus on mobile robot navigation and path planning. His most notable contribution is the development of modified artificial potential field (APF) algorithms, which address key limitations in traditional APF methods—such as local minima and goal unreachability—by introducing adaptive potential functions and dynamic obstacle avoidance strategies. This work, published in 2025, has already garnered attention within the robotics community, earning its first citation and signaling growing interest in his innovative approach. Bharali’s research bridges theoretical control algorithms with practical deployment challenges, making his findings relevant for applications in warehouse automation, search-and-rescue operations, and autonomous vehicles. By refining the balance between computational efficiency and real-time responsiveness, his algorithms offer a more robust framework for safe and efficient robot movement in cluttered environments. As an emerging voice in the field, Bharali’s contributions promise to influence future developments in intelligent navigation systems, particularly for scenarios requiring adaptive and collision-free trajectories.