Papers
18
Total Citations
215
H-Index
8
About
Jonqlan Lin is a robotics and control systems researcher whose work spans parallel robot design, manipulator control, and mechatronics — with a particular expertise in robots operating under challenging dynamic conditions. Lin is perhaps best known for his sustained investigation into robot manipulators mounted on oscillatory bases, a technically demanding problem in which instability from compliant or moving platforms must be overcome to achieve precise control. His contributions in this area — including hierarchical fuzzy control, pseudo-inverse Jacobian methods, and adaptive fuzzy inference approaches — have collectively garnered over 90 citations, reflecting their value to the robotics control community. Beyond oscillatory systems, Lin has made notable contributions to parallel robot design and implementation. His 2015 paper on the DELTA parallel robot, which incorporated 3D printing in its mechatronic development process, has earned 33 citations, while his work on cable-driven and cable-suspended parallel robots demonstrates a consistent drive toward modular, reconfigurable robotic systems with practical real-world utility. His research on the Stewart platform further underscores his fluency with complex kinematic structures. With a body of work bridging theoretical control design and hands-on implementation, Lin represents a researcher who effectively connects advanced robotics theory with engineering practice.
Research Focus
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Top Papers
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