NTU MARS Lab Multimodal AI and Robotic Systems Lab

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

Highlights

Physical AI Research

Physical AI Research

At MARS Lab, we mainly study Human-Centric Physical AI and Robotics, ranging from multimodal perception, human-robot interaction, robotic manipulation, and embodied locomotion with AIoT integration, enabling intelligent machines to perceive, act, and adapt seamlessly in the physical world.

Research Achievements

Research Achievements

Our MARS Lab embodies the open-source spirit, accelerating scientific progress through impactful libraries such as SenseFi and MM-Fi, which support multimodal foundation models. We develop AI algorithms and deploy them in real-world robotic and AIoT systems. Our research is widely recognized, with publications in top venues across AI (NeurIPS, ICLR, CVPR, ICCV, ACL, TPAMI, IJCV), robotics (ICRA, IROS), and interdisciplinary science (Cell Patterns, Briefings in Bioinformatics, CACIE).

Our Team

Our Team

MARS Lab is a diverse and close-knit team of researchers from various academic and cultural backgrounds. Equipped with advanced robotic platforms, including multiple robotic arms and the Unitree G1 humanoid. We work together in a collaborative, supportive environment to push the boundaries of AI and robotics through shared curiosity and innovation.