Tie Chen

Papers

Total Citations

H-Index

About

Tie Chen is a researcher specializing in robotics and automation, with a particular focus on industrial robot motion planning and control. His most recognized work centers on trajectory planning algorithms for industrial robot manipulators, where he has developed optimized approaches that address the complex challenges of coordinating robot movement in Cartesian space. His 2012 paper on optimized trajectory planning introduced an effective algorithm that normalizes both running velocity and time parameters, incorporating boundary constraints such as initial and final positions and velocities to produce smooth, efficient robotic motion. This work reflects a broader commitment to making industrial robots more precise and practically deployable in manufacturing environments. While Chen's citation record is in its early stages, with his trajectory planning work accumulating 4 citations, his contributions address fundamental problems in robot kinematics that are essential to advancing automation technology. His research appeals to engineers and computer scientists working on robotic path optimization, motion control, and smart manufacturing systems, laying groundwork that supports the growing demand for more intelligent and efficient industrial robotic solutions.