Xiaohui Zhu

Xi’an Jiaotong-Liverpool University, Ningxia University, Shanghai Jiao Tong University

Papers

Total Citations

H-Index

About

Xiaohui Zhu’s research lies at the intersection of robotics, computer vision, and intelligent automation, with a particular focus on agricultural and service robotics. Their most impactful work, a comprehensive review on deep learning for produce perception in harvesting robots (2025, 11 citations), addresses critical challenges in agricultural automation amid global labor shortages, establishing a foundational framework for vision-based crop detection and robotic harvesting. Zhu has also advanced underwater robotics through CD-UDepth (2025, 5 citations), a novel method fusing complementary dual-source information for monocular depth estimation in challenging aquatic environments. Earlier contributions include fuzzy control strategies for fire-fighting robot obstacle avoidance (2015, 3 citations), demonstrating practical solutions for hazardous environments, and event-based tele-presence control for mobile service robots (2011, 2 citations), integrating vision-based planning with real-time multimedia communication. Across these works, Zhu consistently bridges theoretical advances in perception and control with real-world robotic applications, from agriculture to underwater exploration and emergency response. Their research trajectory shows a clear commitment to making robots more autonomous and perceptive in unstructured environments, with growing impact evidenced by increasing citation rates in recent years.