Lishuang Zhang

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About

Lishuang Zhang is a robotics researcher specializing in motion planning and autonomous navigation for mobile robots, particularly in indoor and home service environments. Their work focuses on developing smooth, efficient, and practical trajectory generation methods that enable robots to operate safely in both known and unknown spaces. A key contribution is the use of quintic Bézier curves for trajectory planning, which allows for continuous curvature and smooth velocity profiles—critical for real-world robot motion. Zhang’s 2015 paper on this topic, with 7 citations, demonstrates a clear, two-stage approach: separating path planning from velocity profile generation to improve execution. Another highly cited work (6 citations) integrates the Robot Operating System (ROS) with landmark-based localization and the MAKLINK Graph algorithm, creating a complete, implementable smooth motion planning scheme for home service robots. Zhang has also addressed the challenge of dynamic environments, proposing a three-part planner that first generates a global path and then adapts to unknown obstacles during execution. With a focused publication record in the mid-2010s, Zhang’s contributions provide foundational, practical solutions for mobile robot navigation, bridging theoretical planning with ROS-based implementation.