Unmanned Ground Vehicles

Brief:  

This project investigates the fundamental approaches to perception, planning and control for unmanned ground vehicles.

The types of vehicles include four-wheeled robots and dual-wheel-legged robots.

Published papers related to this project:

W. Tao, X. Yan, H. Huang, Generative AI-augmented intention recognition and hierarchical multimodal policy learning for indoor navigation, Information Fusion, 2026.

B. Lan, H. Huang, Adaptive and Robust Wheel-Legged Biped Robot for Semistructured Community Tasks, IEEE Transactions on Computational Social Systems, 2025.

S. Liu, C. Huang, H. Huang, Behavior Cloning-based Active Scene Recognition via Generated Expert Data with Revision and Prediction for Domestic Robots, IEEE Transactions on Robotics, 2025.

S. Liu, C. Huang, H. Huang, J. Wu, Active Scene Recognition for Domestic Robots: Observing, Moving, and Recognizing, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025.

H. Cao, L. Cheng, Z. Shen, C. Huang, H. Huang, Fei-Yue Wang, Detecting and Tracking 6-DoF Motion of Unknown Dynamic Objects in Industrial Environments Using Stereo Visual Sensing, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024.

A. Gunathillake, H. Huang, A. Savkin, Sensor Network Based Navigation of a Mobile Robot for Extremum Seeking Using a Topology Map, IEEE Transactions on Industrial Informatics, 2019.

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