Multimodal AI and Robotic Systems (MARS) Lab is led by Prof. Jianfei Yang in Nanyang Technological University, Singapore.
MARS Lab studies Physical AI, focusing on how AI can enable physical systems—such as robotics, IoT, and industrial systems—to perceive, understand, and interact with the physical world.
News
- Feb 2025: (funding) Our project is supported by Microsoft Accelerating Foundation Models Research ($50K GPU).
- Feb 2025: (paper) Our paper (Feedback Neural Network) is selected as an ICLR oral paper (top 1.8%).
- Jan 2025: (paper) Two papers (on X-Fi and Feedback Neural Network) are accepted by ICLR-25.
- Jan 2025: (paper) One paper on point registration is accepted by ICRA-25. Congrats to our undergrad intern, Geng Li!
- Jan 2025: (project) Our lab participates in Meta Project Aria!
- Sep 2024: (award) The 1st PhD student, Zhou Chuhao, won the first place at ECCV-24 Data Distillation Challenge. Congratulations!
- Sep 2024: (kick-off) Prof. Jianfei Yang launched MARS Lab at the Robotics Research Center, NTU.
Highlights
Our Research
Our research has been featured in top-tier publications across AI (NeurIPS, ICLR, CVPR, ICCV, ACL, TPAMI, IJCV), robotics (ICRA, IROS), and interdisciplinary fields (Cell Patterns, BIB, CACIE).
Our Projects
Our MARS Lab embodies the open-source spirit, driving scientific and technological advancements from innovative AI algorithms to cutting-edge robotic and AIoT system solutions.
Our Team
Our MARS Lab is a close-knit family of passionate researchers dedicated to advancing AI and robotics, fostering an inspiring and supportive environment for everyone as we shape the future through impactful innovations.