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@NTUMARS

NTU MARS lab

MARS Lab studies Physical AI, focusing on how AI can enable physical systems—such as robotics, IoT, and industrial systems.

Hi there 👋

✨Welcome to the Multimodal embodied AI and Robotic Systems (MARS) Lab @ NTU!✨

🚀 Our Lab focuses on Physical AI and Embodied AI, advancing how AI can empower physical systems (e.g., robots, and IoT systems) to perceive, reason, and act in the real world. We explore the intersection of multimodal LLM, robotic manipulation, human-robot interaction, edge AI, and AIoT. The Lab is led by Prof. Jianfei Yang.

🪐 Our vision is to build robotic and cyber-physical systems that integrate seamlessly into human environments, enabling new capabilities in automation, interaction, sensing, and adaptation.

You can find a more complete overview and all of our cute team members on our lab Homepage.

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  1. Awesome-WiFi-CSI-Sensing Awesome-WiFi-CSI-Sensing Public

    A list of awesome papers and cool resources on WiFi CSI sensing.

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  2. .github .github Public

    The .github file is used to display a README for the organization profile.

  3. HoloLLM HoloLLM Public

    Official code of our paper "HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning" (NeurIPS 2025)

  4. project project Public

    Project pages of MARS Lab papers

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