Siddharth Mandaliya

Papers

Total Citations

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About

Siddharth Mandaliya is a researcher in autonomous systems and robotics, with a primary focus on unmanned aerial vehicle (UAV) navigation and control. His most cited work, "Path Planning and Static Obstacle Avoidance for Unmanned Aerial Systems" (2022), addresses a critical challenge in drone autonomy: enabling safe, efficient flight in cluttered environments. By developing algorithms that integrate path planning with real-time obstacle detection, Mandaliya contributes to the foundational technology for applications ranging from delivery drones to search-and-rescue missions. Though his citation count is still growing—with his top paper accumulating 4 citations—his research sits at the intersection of control theory, computer vision, and artificial intelligence, offering practical solutions for real-world UAV deployment. His work is particularly notable for its emphasis on static obstacle avoidance, a key requirement for low-altitude urban flight. As the field of autonomous aerial systems expands, Mandaliya’s contributions provide a stepping stone for more complex, dynamic navigation challenges, marking him as an emerging voice in the next generation of robotics researchers.