Pan Din
Papers
1
Total Citations
6
H-Index
1
About
Pan Din is a robotics researcher whose work centers on industrial robot motion planning, particularly for six-degree-of-freedom (6-DOF) manipulators. His most cited paper, "A fixed-distance Cartesian path planning algorithm for 6-DOF industrial robots" (2015, 6 citations), addresses a critical challenge in manufacturing automation: generating collision-free, precise trajectories that allow robots to pass through predefined spatial coordinates while maintaining speed and accuracy. By focusing on Cartesian-space planning—as opposed to joint-space approaches—Din’s algorithm enables more intuitive and geometrically accurate motion control, which is essential for tasks like welding, painting, or assembly where tool orientation and path consistency matter. Though his citation count is modest, the work reflects a practical, problem-driven contribution to industrial robotics, offering a clear solution for engineers seeking to optimize robot performance in real-world settings. Din’s research bridges the gap between theoretical trajectory optimization and applied manufacturing needs, making his findings valuable for students and practitioners alike who are exploring efficient path planning for articulated robots.
Research Focus
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Top Papers
- 1