Kongtao Zhu

Northwestern Polytechnical University, Xi'an Jiaotong University

Papers

Total Citations

H-Index

About

Kongtao Zhu is a robotics researcher whose work focuses on multi-robot coordination, autonomous navigation, and localization in challenging environments. His key contributions address fundamental problems in multi-robot systems, including cooperative control and the "kidnapped robot problem"—where a robot loses global localization in dynamic indoor settings. In his 2019 paper on wall-following control, Zhu developed a method combining moving target tracking with obstacle avoidance for multi-robot teams, a foundational approach cited 6 times. His 2022 work, "Multi-L," introduced a novel cooperative localization method to help mobile robots detect and recover from catastrophic localization failures, advancing robustness in indoor robotics. Zhu also tackled unstructured terrain navigation, as seen in his 2020 study on all-terrain vehicle (ATV) navigation in complex environments containing stairs, contributing to urban search and rescue applications. While his citation counts are modest, his research addresses critical gaps in real-world robot autonomy, particularly in scenarios where traditional localization and navigation fail. Zhu’s work is especially relevant for researchers interested in multi-robot systems, resilient localization, and field robotics in unstructured settings.