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About

Shang-Wen Wong is a robotics researcher whose work lies at the intersection of autonomous manipulation, grasp planning, and intelligent perception. His research focuses on enabling robots to perform complex, real-world tasks with greater autonomy and dexterity. Wong’s most cited work, "Generic Development of Bin Pick-and-Place System Based on Robot Operating System" (2022, 20 citations), established a foundational framework for factory and warehouse automation by implementing a versatile, ROS-based system for six-degree-of-freedom robotic pick-and-place. He further advanced the field with his work on "Manipulability-Aware Task-Oriented Grasp Planning and Motion Control" (2024), which addresses critical challenges in redundant dual-arm robotics by optimizing grasp poses while respecting hardware constraints like joint limits and singularities. Complementing this, his research on "A Real-time Affordance-based Object Pose Estimation Approach" (2023) introduces a novel Object Affordance Detection and Segmentation (OADS) network, enabling robots to perceive and grasp objects in real time. Together, these contributions demonstrate Wong’s commitment to bridging perception and action, pushing the boundaries of robotic autonomy in industrial and service applications.