Zhangping Chen

Hangzhou Dianzi University, Sichuan University

Papers

Total Citations

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About

Zhangping Chen is a researcher whose work bridges robotics, surgical automation, and agricultural AI, with a focus on enabling intelligent systems to operate in complex, unstructured environments. Chen’s most cited paper, “An Improved Path Planning Algorithm With Adaptive Parameters and Predictions” (2023, 10 citations), introduces a refined dynamic window approach that optimizes real-time navigation for agents amidst static and dynamic obstacles, addressing critical path and performance constraints. This contribution is foundational for autonomous mobile robots in crowded or unpredictable settings. Earlier, Chen explored medical robotics in “Configuration and Kinematic Analysis of a Novel Hybrid Surgical Robot with a Ball Joint” (2009, 4 citations), proposing a compact hybrid design that leverages serial and parallel robot advantages for precise, minimally invasive procedures. Most recently, in “Instance segmentation and spatial positioning of waxberries in complex environments” (2025, 2 citations), Chen applies computer vision to agriculture, enabling accurate fruit detection and localization for automated harvesting. Across these works, Chen demonstrates a consistent drive to enhance robotic perception and decision-making under real-world constraints, from operating rooms to orchards, with growing citation impact signaling the relevance of these innovations to both academia and industry.