Harika Pudugosula
Papers
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Total Citations
1
H-Index
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About
Harika Pudugosula is a rising researcher in the field of autonomous systems and artificial intelligence, with a primary focus on deep reinforcement learning for mobile robotics. Her most-cited work, "Path Optimization of Autonomous Mobile Robot using Deep Reinforcement Learning" (2024), addresses a critical gap in existing automation research: the inability of prior systems to handle real-time obstacle avoidance and dynamic trajectory reconfiguration. By proposing a novel framework that integrates deep reinforcement learning with path optimization, Pudugosula’s contribution enables mobile robots to adaptively navigate unpredictable environments without relying on predetermined routes. This work has already garnered early citations, signaling its relevance to advancing autonomous navigation in logistics, manufacturing, and service robotics. Her research stands out for bridging theoretical AI methods with practical robotic challenges, offering a scalable solution for safer and more efficient automation. As an emerging scholar, Pudugosula’s work is poised to influence future developments in intelligent robotics, particularly in applications requiring real-time decision-making under uncertainty. Her dedication to solving real-world problems through AI-driven optimization marks her as a promising contributor to the next generation of autonomous systems.
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Top Papers
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