
Hierarchical Goal-Prediction Framework for Generalized Object Placement
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I am a Master student at Carnegie Mellon University (CMU) Robotics Institute and a member of Robots Perceiving and Doing (RPAD) Lab, advised by Prof. David Held.
My research lies at the intersection of Computer Vision and Robot Manipulation. I'm particularly interested in developing methods that enable robots to acquire manipulation skills from unstructured demonstrations with minimal supervision, while achieving both sample efficiency and strong generalization through geometric reasoning.
Previously, I obtained my Bachelor of Science in Electrical Engineering with a minor in Computer Science from University of Illinois at Urbana-Champaign with Highest Honors. During my undergraduate studies, I joined the Human-Centered Autonomy Lab as a research assistant, advised by Professor Katie Driggs-Campbell. I also joined The Chinese University of Hong Kong and the Ren Lab as a summer visiting scholar, advised by Professor Hongliang Ren.
You can contact me at lyuxingh at andrew dot cmu dot edu
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More details coming soon ...
Handbook of Robotic Surgery, 2024
An end-to-end surgical data automation and scene-reconstruction pipeline that assembles an in-vivo GI dataset and trains a pose-free NeRF to deliver dense 3D representations despite specular surfaces and limited data.