Max Robotics — Global Service Robot Directory + US Certification

About

Wei Chian Tan’s research lies at the intersection of robotic manipulation, autonomous navigation, and industrial inspection, with a focus on practical, data-driven solutions. His work on dual-arm robotic assembly provides a foundational survey of the coordination challenges and task-level strategies essential for manufacturing, while his quantitative assessment framework enables engineers to evaluate robotic configurations and task plans at the task level—a critical step toward optimizing performance in complex assembly lines. In autonomous maritime navigation, Tan demonstrated that historical AIS data can be leveraged to generate robust, data-driven routes for surface vessels, offering a novel alternative to traditional path planning. His contributions extend to automated visual inspection, where he developed a framework using Histogram of Oriented Gradients to detect blistering defects on metal surfaces, enhancing robotic quality control. With over 50 citations across his most-cited works, Tan’s research bridges theory and application, providing tools that improve both the intelligence and reliability of robotic systems in real-world settings.