Jiuzhou Zhang
Papers
1
Total Citations
28
H-Index
1
About
Jiuzhou Zhang is a rising researcher in the field of multi-robot systems and autonomous navigation, with a primary focus on coverage path planning and collaborative robotics. Their most notable contribution is the development of APF-CPP (Artificial Potential Field Based Multi-Robot Online Coverage Path Planning), a novel approach that leverages artificial potential fields to enhance real-time collaboration among robot teams during coverage tasks. This work, published in 2024 and already garnering 28 citations, addresses a critical challenge in multi-robot coordination by enabling efficient, online path planning without precomputed maps. Zhang’s research bridges the gap between theoretical robotics and practical deployment, offering scalable solutions for applications in search-and-rescue, environmental monitoring, and industrial automation. By integrating potential field methods with multi-agent coordination, they have provided a framework that improves both coverage efficiency and collision avoidance in dynamic environments. As an emerging scholar, Zhang’s work is gaining traction for its practical relevance and innovative approach to complex robotic coordination problems, positioning them as a promising contributor to the advancement of autonomous multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1