Qichen Wang

Queen Mary University of London, Beijing Normal University

Papers

Total Citations

H-Index

About

Qichen Wang is a researcher specializing in autonomous systems, multi-vehicle coordination, and robotic navigation, with a career spanning over a decade of contributions to intelligent mobility and path planning. Wang's foundational work in cooperative path planning, beginning with a 2013 study on adaptive dynamic programming for collision avoidance, laid the groundwork for more sophisticated multi-vehicle coordination frameworks. This was followed by the widely recognized 2014 paper "Cooperative Path-Planning for Multi-Vehicle Systems," which has accumulated 15 citations and remains a key reference for researchers tackling collision avoidance in high-density dynamic environments — a challenge central to both autonomous navigation and robotics. More recently, Wang has expanded into the domain of Simultaneous Localization and Mapping (SLAM), contributing a 2024 comparative analysis of three SLAM algorithms that addresses the growing need for reliable environmental perception in mobile robots. This work reflects Wang's continued commitment to bridging theoretical algorithmic development with practical autonomous system applications. Across these contributions, Wang demonstrates a consistent focus on enabling machines to navigate complex environments safely and intelligently — research increasingly vital as autonomous vehicles and robotics move toward real-world deployment.