Weidong Zeng
Papers
1
Total Citations
10
H-Index
1
About
Weidong Zeng is a leading researcher in autonomous robotics and human-robot interaction, with a focus on developing intelligent systems that enable seamless collaboration between humans and machines. His work centers on multi-sensor fusion, mobile robot navigation, and person-following algorithms—critical technologies for applications in manufacturing, industry, and social robotics. In his highly cited 2024 paper, "Advanced Multi-Sensor Person-Following System on a Mobile Robot: Design, Construction and Measurements," Zeng tackles the challenge of enabling robots to autonomously follow human companions despite the unpredictability of human movement. This work, which has already garnered 10 citations, demonstrates his ability to integrate sensor data and control strategies to achieve robust, real-world performance. Zeng’s contributions are shaping the next generation of collaborative robots, making them more adaptive and reliable in dynamic environments. His research not only advances technical frontiers but also paves the way for safer, more intuitive human-robot partnerships in industry and beyond.
Research Focus
Key Achievements
Top Papers
- 1