معرفی
Yik Lung Pang is a researcher at the School of Electronic Engineering and Computer Science, Queen Mary University of London, based in the Peter Landin building (Room CS 440). His work bridges robotics, computer vision, and machine learning to advance human-robot collaboration in real-world environments.
His research specializes in human-robot interaction with a focus on handover behaviors, 3D scene reconstruction, and object pose estimation. Key contributions include:
- Developing LaVA-Man for visual action representation learning in robot manipulation
- Creating stereo-based hand-object reconstruction systems for safe human-to-robot handovers
- Pioneering incremental 6D pose estimation techniques for dynamic object tracking
- Integrating audio-visual modalities to enhance object classification in collaborative tasks
From 2021-2025, Pang's publication trajectory reveals an escalating focus on multimodal perception (combining vision, audio, and depth data) and robustness in unstructured settings. His work addresses critical gaps in human-robot teaming, particularly for domestic and industrial applications involving unknown containers and complex handovers.
No scientific awards, student supervision, or laboratory affiliations were documented in the provided sources.
