Yangming Zheng

Zhejiang University, Shanghai Jiao Tong University

Papers

Total Citations

H-Index

About

Yangming Zheng is a researcher at the intersection of robotics, automation, and artificial intelligence, with key contributions spanning intelligent path planning and laboratory automation. His most cited work, "A Complete Coverage Path Planning Algorithm for Lawn Mowing Robots Based on Deep Reinforcement Learning" (2025, 5 citations), introduces Re-DQN, a novel deep reinforcement learning algorithm that enables comprehensive and efficient coverage for autonomous lawn mowing robots. This work addresses critical challenges in smart homes and agricultural automation, reducing the need for manual labor through intelligent robotic navigation. Zheng’s earlier foundational contribution, "Automatic liquid handling for life sciences - A critical review of the current state-of-the-art" (2009, 5 citations), provides a comprehensive survey of robotic systems, sensors, and workstations for automating tedious liquid handling tasks in life sciences. This review has served as a key reference for researchers seeking to integrate robotics into biological and chemical laboratories. With a career bridging two decades, Zheng’s work demonstrates a consistent focus on applying robotics and AI to solve real-world problems—from automating repetitive lab tasks to enabling intelligent outdoor robots. His research continues to influence both agricultural automation and life science instrumentation, showcasing the broad impact of his interdisciplinary approach.