Anuradha Dhull

Papers

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About

Anuradha Dhull is a researcher whose work sits at the intersection of robotics and artificial intelligence, with a particular focus on developing efficient path-planning algorithms. Her primary contributions lie in the comparative analysis and application of meta-heuristic optimization techniques to solve complex robotic navigation problems. In her most cited work, "Comparison between Different Meta-Heuristic Algorithms for Path Planning in Robotics" (2016, 7 citations), she critically evaluated algorithms like the bee colony optimization method, demonstrating how self-evolving parameters can enhance autonomous movement. She further advanced this field by applying the flower pollination algorithm to robotic path planning (2019, 4 citations), addressing core constraints such as collision avoidance and distance optimization. Demonstrating a forward-looking perspective, Dhull has also explored the critical legal and regulatory challenges posed by AI in healthcare (2024, 4 citations), bridging technical innovation with societal governance. Her work provides foundational insights for students and engineers seeking to understand how nature-inspired algorithms can make robots more independent and efficient in real-world environments.