Md. Rafat Rahman Tushar

Papers

Total Citations

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About

Md. Rafat Rahman Tushar is a researcher specializing in robotics, reinforcement learning, and autonomous systems, with a particular focus on applying artificial intelligence to solve complex, real-world navigation and optimization problems. His most cited work, "Autonomous Warehouse Robot using Deep Q-Learning" (2021), has garnered 12 citations and demonstrates a pioneering approach to enabling warehouse robots to navigate unpredictable environments, avoid obstacles, and maximize spatial efficiency. By leveraging Deep Reinforcement Learning, Tushar’s research addresses the critical challenge of creating adaptive agents that can operate autonomously in dynamic industrial settings, a contribution that holds significant promise for logistics and supply chain automation. His work stands out for its practical application of advanced AI techniques to improve operational efficiency and safety. Tushar’s research not only advances the field of autonomous robotics but also provides a scalable framework for integrating intelligent decision-making into real-world systems, marking him as an emerging innovator in the intersection of AI and robotics.