Zhijie Yang

ShanghaiTech University, Hubei University of Technology

Papers

Total Citations

H-Index

About

Zhijie Yang is a researcher specializing in mobile robotics, with a focus on autonomous navigation, path planning, and high-fidelity environmental mapping. His major contributions lie in advancing the capabilities of mapping robots through the development of hardware-synchronized systems and novel algorithmic approaches. Notably, his 2020 work on an advanced mapping robot and high-resolution dataset (24 citations) introduced a fully synchronized platform with external tracking and professional-grade 3D scanning for ground truth, enabling more precise evaluation of mapping algorithms. This work, along with his 2019 paper on comprehensive mapping robot datasets (7 citations), has provided foundational resources for the robotics community. Yang has also tackled optimal path planning by improving the ant colony algorithm (2021, 7 citations), addressing its traditional weaknesses like slow convergence and local optima. His research has practical implications for autonomous systems in complex environments, and his datasets serve as benchmarks for evaluating robot perception and navigation. Through these contributions, Yang has established himself as a key figure in mobile robotics, bridging hardware innovation with algorithmic efficiency.