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  • Sydney
  • 00:05 (UTC +10:00)

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WentingXu3o3/README.md

Hi there 👋

  • 🌱 Hi, I’m Wenting, a PhD candidate at the University of Sydney, expecting to graduate in 2026.

  • 🔭 My research lies at the intersection of 3D Scene Understanding, Multimodal Reasoning, and Embodied AI. I explore how foundation models, including LLMs and VLMs, can help robots perceive, reason about, and interact with complex 3D environments.

  • 🤖 My long-term goal is to build intelligent systems that move beyond seeing the world to truly understanding spaces, objects, and human intentions — contributing to the “brain” of future embodied robots.

  • 👯 I’m open to research collaborations, internship opportunities, and startup ventures related to 3D vision, multimodal intelligence, robotics, and embodied AI.

  • ✨ Ultimately, I’m passionate about bringing Ambient Intelligence to life: creating intelligent environments and embodied agents that can naturally understand, assist, and collaborate with people.

Welcome to follow me on GitHub and contact me on LinkedIn or via email.

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  1. TB-HSU TB-HSU Public

    [AAAI 2025] Official data and code for "TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances"

    Python 15