Poojith Kotikalapudi

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About

Poojith Kotikalapudi is an emerging researcher in the field of robotics and autonomous systems, with a focus on mobile robot navigation and intelligent path planning. His work investigates the integration of multiple sensing modalities — including onboard cameras, aerial imaging, and ultrasonic sensors — to enable robust obstacle detection and avoidance in dynamic environments. His most notable publication, "Obstacle Avoidance and Path Finding for Mobile Robot Navigation" (2020), explores a range of efficient pathfinding algorithms, examining both single and multi-iteration angle-based navigation strategies to guide robots toward target sources while safely avoiding obstacles. This work contributes meaningfully to the growing body of research on autonomous mobile systems, addressing practical challenges in sensor fusion and real-time decision-making that are central to robotics applications across industries such as manufacturing, logistics, and search-and-rescue. Though early in his research career with 2 citations to date, Kotikalapudi's foundational contributions to robot perception and navigation position him as a promising voice in the autonomous systems community, with clear potential to influence future developments in intelligent robotic mobility.