Ping-Shun Wang

Papers

Total Citations

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About

Ping-Shun Wang is a researcher in robotics and control systems, with a primary focus on visual servoing and real-time robotic tracking. His work addresses the challenge of enabling robots to visually track arbitrary three-dimensional objects moving at unknown velocities, a critical problem in autonomous manipulation and industrial automation. Wang’s most-cited paper, "Optimal control law of robot based on delta operator in visual servoing" (2005), introduces a mathematical framework for direct visual feedback using a camera-in-hand configuration. This approach eliminates the need for separate position sensors, allowing robots to dynamically adjust to unpredictable object motion. By applying delta operator theory, Wang’s control law improves system stability and response time in discrete-time implementations. Although his citation count is modest, his contributions are foundational for researchers exploring real-time visual servoing and sensor-based robotic control. Wang’s work bridges theoretical control design and practical robotic vision, offering insights into optimal feedback strategies for high-speed, unstructured environments. His research remains relevant for advancing autonomous systems in manufacturing, service robotics, and human-robot interaction.