Hanifudin Sukri

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About

Hanifudin Sukri is a robotics researcher focused on intelligent navigation and autonomous systems for real-world applications. His work centers on developing efficient, practical robotic solutions for logistics and environmental management. Sukri’s most cited paper, “Application of Odometry and Dijkstra Algorithm as Navigation and Shortest Path Determination System of Warehouse Mobile Robot” (2023, 11 citations), presents a novel integration of odometry and Dijkstra’s algorithm to optimize warehouse robot navigation, significantly improving resource efficiency and reducing human error in industrial goods distribution. This contribution addresses critical challenges in automation and logistics. Additionally, his research on “Design of Garbage Collection Robots In Tourism Area (Beach) With Artificial Neural Network Method” (2022, 3 citations) tackles environmental sustainability by deploying neural network-based robots for autonomous waste collection in tourist areas, specifically targeting inorganic plastic waste on beaches. These projects demonstrate Sukri’s commitment to bridging robotics theory with tangible societal benefits, from streamlining supply chains to protecting natural environments. His work continues to inspire students and researchers exploring autonomous systems, path planning, and human-robot interaction in service robotics.