Zhiwen Zhang

University of Electronic Science and Technology of China, Nankai University

Papers

Total Citations

219

H-Index

About

Zhiwen Zhang is a leading researcher in intelligent robotics and autonomous navigation, with a focus on bio-inspired algorithms and brain-computer interfaces (BCIs). His most cited work, "Mobile Robot Path Planning Based on Ant Colony Algorithm With A* Heuristic Method" (2019, 215 citations), introduces a groundbreaking hybrid approach that integrates the A* algorithm’s heuristic efficiency with the MAX-MIN Ant System’s optimization capabilities. This innovation significantly enhances path planning in complex environments, enabling mobile robots to navigate with greater speed and accuracy—a critical advancement for autonomous systems in logistics, exploration, and service robotics. Zhang’s contributions extend to human-robot collaboration, as demonstrated in his work "Design of an SSVEP-based BCI System with Vision Assisted Navigation Module for the Cooperative Control of Multiple Robots" (2017). Here, he pioneers a steady-state visual evoked potential (SSVEP) BCI system that allows users to intuitively control multiple robots for cooperative tasks like mobility and manipulation, bridging the gap between human intent and multi-robot coordination. With a citation impact exceeding 200, Zhang’s research not only advances algorithmic efficiency but also pushes the boundaries of accessible, real-world robotic control, making him a key figure in the evolution of intelligent, human-centered robotics.