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Xuran Zhao

3 accepted papers

2025

Evaluating Global Geo-Alignment for Precision Learned Autonomous Vehicle Localization Using Aerial Data

ICRA 2025

Recently there has been growing interest in the use of aerial and satellite map data for autonomous vehicles, primarily due to its potential for significant cost reduction and enhanced scalability. Despite the advantages, aerial data also comes with challenges such as a sensor-modality gap and a vie

Cited by 1SourceScholar
2020

Towards More Possibilities: Motion Planning and Control for Hybrid Locomotion of Wheeled-Legged Robots

RA-L 2020

This letter proposed a control framework to tackle the hybrid locomotion problem of wheeled-legged robots. It comes as a hierarchical structure with three layers: hybrid foot placement planning, Centre of Mass (CoM) trajectory optimization and whole-body control. General mathematical representation

Cited by 26SourceScholar