Weiwei Kong

Universität Hamburg, Tsinghua University, National University of Defense Technology

Papers

Total Citations

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About

Weiwei Kong is a roboticist whose research focuses on mobile robotic mapping, autonomous navigation, and intelligent control systems. His work addresses fundamental challenges in enabling robots to perceive and interact with unstructured environments. Kong's most influential contribution is a feature-less scan registration strategy based on the Hough transform, which leverages ubiquitous ground surfaces for global registration in mobile robotic mapping, eliminating dependency on specific environmental features. This work has garnered 8 citations and provides a robust foundation for autonomous navigation. He has also developed a task-space adaptive robust control methodology for duct cleaning mobile manipulators, using a Fuzzy Wavelet Neural Network to handle uncertainties and external disturbances, a contribution cited 7 times. In the domain of aerial robotics, Kong pioneered the use of a Samsung Galaxy S3 smartphone as a lightweight, low-cost on-board sensor platform for micro-UAV visual odometry, demonstrating that consumer mobile-phone sensors can achieve reliable 2D monocular localization. Additionally, he implemented an open-source ground stereo vision detection system for autonomous UAV landing, achieving 5 citations. Across these works, Kong consistently advances practical, sensor-driven solutions for real-world robotic systems.