Zhuoming Ma

Papers

Total Citations

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About

Zhuoming Ma is a robotics researcher whose work centers on sensor integration and calibration for robotic systems, with a particular focus on depth cameras and hand-eye coordination. His most-cited paper, "Robotic hand-eye calibration with depth camera: A sphere model approach" (2018, 21 citations), introduces an innovative method for determining the transformation between a depth camera and a robot wrist. By employing a sphere model and indirect measurements based on robot movements, Ma’s approach overcomes the challenge of obtaining true hand-eye transformations, offering a more practical and accurate calibration solution. This contribution has been recognized by the robotics community, with citations reflecting its utility in advancing sensor-guided automation. Ma’s work addresses a fundamental bottleneck in robotic perception—precise calibration—enabling more reliable depth-based manipulation and interaction. His research is particularly relevant for applications in industrial robotics, autonomous systems, and human-robot collaboration, where accurate spatial alignment is critical. Through his method, Ma has provided a robust tool that simplifies calibration processes, reducing reliance on complex direct measurements and enhancing the accessibility of depth camera integration in robotic platforms.