Abhishek Mohan

National Institute of Technology Calicut

Papers

Total Citations

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About

Dr. Abhishek Mohan is a pioneering researcher in the field of autonomous robotics, with a primary focus on reinforcement learning-based path planning and intelligent navigation systems. His most-cited work, "Path Planning of Mobile Robot Using Reinforcement Learning" (2022), addresses a critical challenge in modern robotics: enabling machines to autonomously navigate complex, unstructured environments. This research directly impacts applications ranging from object manipulation and expert assistance to outdoor exploration and uncharted territory mapping. By integrating reinforcement learning algorithms into mobile robot control systems, Mohan has developed frameworks that allow robots to learn optimal navigation strategies through trial and error, reducing the need for explicit programming. His work bridges the gap between theoretical machine learning and practical robotic deployment, earning recognition for its potential to revolutionize autonomous systems. With 3 citations in a rapidly evolving field, Mohan’s contributions are laying the groundwork for safer, more adaptable robots capable of operating in dynamic real-world scenarios. His research continues to inspire advances in intelligent automation, making him a rising voice in the intersection of AI and robotics engineering.