Hongtang Chen
Papers
4
Total Citations
15
H-Index
2
About
Hongtang Chen is a researcher focused on advancing robotic welding systems and multi-sensor perception for autonomous navigation. His work centers on kinematic modeling, master-slave remote welding control, and simultaneous localization and mapping (SLAM) with sensor fusion. Chen’s major contributions include developing a 3P2R arc welding robot tailored for flexible automotive manufacturing, where he applied Denavit–Hartenberg parameters to optimize motion precision and reduce specialized facility costs. He also pioneered tremor suppression in master-slave remote welding through optimal digital filtering, enhancing seam tracking accuracy—a critical factor for weld quality. In SLAM, Chen advanced multi-sensor fusion by integrating LiDAR and other sensors to correct motion distortion in point cloud data, improving mapping reliability in complex environments. His most-cited work, on kinematic modeling of the 3P2R robot, has garnered 7 citations, reflecting its practical relevance. With additional studies on control parameter optimization and remote welding systems, Chen’s research bridges robotics, control theory, and sensor technology, offering tangible solutions for industrial automation and autonomous systems. His achievements underscore a commitment to enhancing precision and robustness in real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Kinematic Modeling of 3P2R Welding Robot Based on D-H Parameters7 citations · 2022
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