Divya Thakur

University of New Mexico, Manipal University Jaipur, Barkatullah University

Papers

Total Citations

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About

Divya Thakur’s research bridges the frontiers of multi-robot systems and human-centered machine learning, with a focus on distributed control and human activity recognition. Her most influential work, “Orthogonal vector field-based control for a multi-robot system circumnavigating a moving target in 3D” (2016, 18 citations), introduces a novel distributed cooperative control strategy that enables multiple networked robots to converge into a precise circular formation around a dynamic target in three-dimensional space—a critical advancement for surveillance, environmental monitoring, and autonomous swarm operations. More recently, Thakur has turned her attention to human behavior analysis, developing a method that integrates sensor data with XGBoost classifiers and PCA techniques (2024, 11 citations) to achieve robust human activity identification, with applications spanning healthcare and recreation. Her earlier work on a Human Joints Analysis System (2022) applies machine learning to bipedal locomotion, aiming to improve humanoid robot gait by mimicking natural human movement. Through these contributions, Thakur demonstrates a unique ability to tackle both the coordination challenges of autonomous systems and the interpretative demands of human-centered AI, making her a versatile and impactful researcher in robotics and intelligent systems.