Zhongliang Chen

Papers

Total Citations

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About

Zhongliang Chen is a robotics researcher whose work focuses on smooth motion planning for home service robots operating in known environments with static obstacles. His primary contributions lie in developing trajectory optimization methods that combine global path planning with local smoothing techniques. In his most cited work, "A ROS-based smooth motion planning scheme for a home service robot" (2015, 6 citations), Chen proposed an integrated system using QR code landmarks and the MAKLINK Graph algorithm for global path generation, implemented within the Robot Operating System (ROS) framework. His earlier paper, "Smooth path planning for a home service robot using η³-splines" (2014, 4 citations), introduced a two-step approach that first generates a shortest linear path via MAKLINK Graph, then refines it using η³-spline interpolation to produce continuous, curvature-smooth trajectories suitable for wheeled robots. While his citation counts are modest, Chen's work represents practical contributions to service robotics, particularly in bridging the gap between discrete path planning and smooth, executable trajectories for domestic applications. His research demonstrates the importance of combining established graph-based planning methods with spline-based smoothing for real-world robot navigation.