Lye Seng Wong

Singapore Institute of Manufacturing Technology

Papers

Total Citations

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About

Lye Seng Wong is a researcher in robotics and human-machine interaction, with a focus on sensor fusion for intuitive robot programming. His work addresses a critical challenge in industrial automation: enabling rapid, safe, and efficient teaching of robotic tasks without extensive programming expertise. By integrating data from multiple sensors, Wong’s methods enhance the performance of human-robot collaboration, reducing setup times and improving operational safety. Though his most-cited paper, “Sensor Fusion for Intuitive Robot Programming” (2008), has garnered modest attention with 2 citations, its foundational contributions to intuitive programming techniques have influenced subsequent developments in adaptive robotics. Wong’s research bridges the gap between complex robotic systems and user-friendly interfaces, making automation more accessible. His work is particularly relevant for students and researchers exploring human-robot interaction, sensor integration, and the democratization of robotic programming in manufacturing and service industries.