Hong Tan

Papers

Total Citations

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About

Hong Tan has carved a distinctive niche at the intersection of robotics and industrial automation, with a primary focus on advancing off-line programming (OLP) technologies for robotic spraying systems. His most cited work, "Research on Off-line Programming Technology of Robot General Spraying Based on DELMIA," addresses critical limitations in commercial OLP software by proposing a universal simulation framework built on the DELMIA platform. This contribution streamlines the transition from digital design to physical execution, enhancing precision and reducing downtime in manufacturing environments. While his citation impact is currently emerging, Tan’s research holds significant practical relevance for industries reliant on automated coating processes, such as automotive and aerospace manufacturing. His systematic approach to integrating general-purpose OLP solutions with existing robotic hardware demonstrates a keen understanding of real-world production challenges. As a researcher, Tan is positioned at the forefront of bridging simulation fidelity with operational efficiency, making his work a valuable reference for engineers and academics seeking to optimize robotic path planning and reduce programming complexity in spray-painting applications.