Changjie Zhang
Papers
2
Total Citations
10
H-Index
2
About
Changjie Zhang is a robotics researcher specializing in autonomous navigation, semantic perception, and human-robot interaction. His work focuses on enabling mobile robots and self-driving vehicles to operate safely and intelligently in complex, real-world environments. Zhang’s most cited paper, “Semantic SLAM for Mobile Robot with Human-in-the-Loop” (2022, 6 citations), introduces a novel approach that integrates semantic understanding into simultaneous localization and mapping (SLAM), allowing robots to not only map their surroundings but also interpret objects and incorporate human guidance for more robust navigation. He also contributed to “Low-Cost LiDAR-Based Vehicle Detection for Self-driving Container Trucks at Seaport” (2021, 4 citations), demonstrating practical, cost-effective solutions for autonomous logistics in industrial settings. By bridging the gap between high-level semantic reasoning and low-cost sensor systems, Zhang’s research advances the deployment of intelligent robots in dynamic, unstructured environments. His work is particularly relevant for applications in autonomous driving, warehouse automation, and collaborative robotics, where human-in-the-loop systems can enhance safety and adaptability.
Research Focus
Key Achievements
Top Papers
- 1Semantic SLAM for Mobile Robot with Human-in-the-Loop6 citations · 2022
- 2