Divya A. Nandesh

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About

Divya A. Nandesh is a robotics researcher whose work centers on autonomous navigation and obstacle avoidance for mobile robots operating in unknown environments. Her most-cited paper, "An Investigation of Bug Algorithms for Mobile Robot Navigation and Obstacle Avoidance in Two-Dimensional Unknown Static Environments" (2021), has garnered 17 citations and addresses a critical challenge in robotics: enabling robots to navigate safely without prior knowledge of obstacle locations. By systematically evaluating Bug algorithms—a class of reactive, sensor-based strategies—Nandesh provides a foundational analysis that bridges the gap between theoretical path planning and real-world deployment. Her contributions are particularly valuable for applications in search-and-rescue, warehouse automation, and planetary exploration, where environmental uncertainty is the norm. Through this work, she highlights the trade-offs between simplicity, efficiency, and robustness in algorithm design, offering practical insights for engineers and researchers. Nandesh’s research continues to influence the development of low-cost, computationally efficient navigation systems, making her a notable voice in the field of autonomous robotics.