Unitree G1 ×2
Unitree G1 Humanoid
ROKAE Human.X ×3
ROKAE Human.X Humanoid
Galaxea R1 Lite ×1
Galaxea R1 Lite Humanoid
Franka Panda ×1
Franka Panda Robot Arm
UR5e ×1
UR5e Robot Arm
UFactory xArm ×1
UFactory xArm Robot Arm
Sharpa Wave ×2
Sharpa Wave Dexterous Hand
Unitree G1 ×2
Unitree G1 Humanoid
ROKAE Human.X ×3
ROKAE Human.X Humanoid
Galaxea R1 Lite ×1
Galaxea R1 Lite Humanoid
Franka Panda ×1
Franka Panda Robot Arm
UR5e ×1
UR5e Robot Arm
UFactory xArm ×1
UFactory xArm Robot Arm
Sharpa Wave ×2
Sharpa Wave Dexterous Hand
Sharpa Wave ×2
Sharpa Wave Dexterous Hand
UFactory xArm ×1
UFactory xArm Robot Arm
UR5e ×1
UR5e Robot Arm
Franka Panda ×1
Franka Panda Robot Arm
Galaxea R1 Lite ×1
Galaxea R1 Lite Humanoid
ROKAE Human.X ×3
ROKAE Human.X Humanoid
Unitree G1 ×2
Unitree G1 Humanoid
Sharpa Wave ×2
Sharpa Wave Dexterous Hand
UFactory xArm ×1
UFactory xArm Robot Arm
UR5e ×1
UR5e Robot Arm
Franka Panda ×1
Franka Panda Robot Arm
Galaxea R1 Lite ×1
Galaxea R1 Lite Humanoid
ROKAE Human.X ×3
ROKAE Human.X Humanoid
Unitree G1 ×2
Unitree G1 Humanoid

Welcome to the Multimodal embodied AI and Robotic Systems (MARS) Lab at Nanyang Technological University (NTU), Singapore. We seek to build reliable embodied intelligence in the physical world.

Our research is driven by a central question: How can robots learn and interact with the world as robustly and adaptively as humans? To address this challenge, we develop multimodal embodied AI systems and feedback learning to understand physical interactions and acquire complex skills. We study the full stack of robotics, from multimodal perception models to world models, robot learning, decision making, and real-world deployment.

Our long-term goal is to build trustworthy physical AI systems that can continually learn from experience, collaborate naturally with humans, and operate reliably in homes, healthcare, manufacturing, and scientific laboratories.

News

  1. Sep 2026 Four papers are accepted by CoRL 2026. Congratulations to Bofan Lyu, Xinying Guo, Chenxi Jiang, Xinyu Zhou and Zhe Li!
  2. Aug 2026 Our paper Physics Filtering is accepted by Nature Portfolio Robotics. Congratulations to Jindou Jia!
  3. Aug 2026 Our survey World Model for Robot Learning is accepted by IJRR. Congratulations to Bohan Hou, Gen Li, Jindou Jia, Tuo An and Xinying Guo!
  4. Apr 2026 Our paper A2A is accepted by RSS 2026. Congratulations to Jindou Jia and Gen Li!
  5. Mar 2026 We received an NVIDIA Academic Grant on Robotics.
  6. Feb 2026 Three papers (two main + one findings) are accepted by CVPR 2026.
  7. Feb 2026 We received a Microsoft Seed Grant from Microsoft Research Asia.
  8. Jan 2026 Our real-world reinforcement learning paper is accepted by ICRA 2026. Congratulations to Xiangyu Chen!
  9. Jan 2026 Two papers are accepted by ICLR 2026. Congratulations to Xinyan Chen and Chenxi Jiang!

Events

Robotics Supply-Chain Workshop
Singapore · 2026 Robotics Supply-Chain Workshop
Prof. Yoshifumi Kitamura Seminar
Tohoku University · AI × XR × HCI Prof. Yoshifumi Kitamura Seminar
NVIDIA Embodied AI Panel
SWITCH · NVIDIA GEAR NVIDIA Embodied AI Panel
Lab Free Talk
NTU MARS Lab · Inaugural Session Lab Free Talk
MAE High Tea
NTU MAE · Student Outreach MAE High Tea
RoboNexus Exchange
NTU MARS Lab × NRP RoboNexus Exchange

Collaborators

Stanford University
UC Berkeley
Harvard University
MIT
ETH Zürich
University of Oxford
Princeton University
NVIDIA
Microsoft
Sony
Sharpa
ROKAE
Unitree
Stanford University
UC Berkeley
Harvard University
MIT
ETH Zürich
University of Oxford
Princeton University
NVIDIA
Microsoft
Sony
Sharpa
ROKAE
Unitree