Me
Zhuoran Li
Robotics & Embodied AI Researcher Undergraduate @NUS
zhuoran.li [at] u [dot] nus [dot] edu

About

Hii, I am a senior undergraduate student at the National University of Singapore (NUS), Department of Statistics and Data Science. I had a wonderful research experience at the Stanford Vision and Learning Lab (SVL), working on designing ideal scene representations for Embodied AI by leveraging foundation models, as an undergraduate visiting research intern, and I am grateful to be advised by Prof. Jiajun Wu and Prof. Yunzhu Li. After that, I had also been a research assistant at the Robotic Perception, Interaction, and Learning Lab (RoboPIL) working with Prof. Yunzhu Li on action-conditioned scene graph building via interactive exploration for robotic manipulation, incorporating the Large Multimodal Model (LMM).

My research lies at the intersection of robotics, computer vision, and machine learning. Specifically, I focus on Embodied AI and aim to develop novel intelligent systems that enable robots to better perceive, understand, and learn from multimodal information in their interactions with the physical world, and autonomously acquire the perception and manipulation skills necessary to execute complex tasks, ultimately achieving human-level performance in various scenarios, ranging from industrial applications to daily life assistance.

I am actively looking for MS/PhD positions starting in Fall 2025! I would love to chat more if you think I might be a good fit for your lab :)

Research Interests

  • Robotics and Embodied AI
  • Robotic Manipulation
  • Foundation Models for Embodied AI
  • Multi-Modal Perception
  • Physical Scene Understanding
  • Reinforcement Learning and Imitation Learning
  • Intelligent Systems

Education

National University of Singapore
  • B.S.(Honors) in Data Science and Analytics
  • Minoring in Computer Science
  • GPA: 4.74 / 5.0
  • 1st Class Honors, Highest Distinction (expected, upon graduation)

Publications

(* indicates equal contribution)
RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation
D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation
Yixuan Wang*, Zhuoran Li*, Mingtong Zhang, Katherine Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li
arXiv, 2023 (Under Review)
Conference on Robot Learning (CoRL) Workshop on Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition, 2023
Conference on Neural Information Processing Systems (NeurIPS) 6th Robot Learning Workshop: Pretraining, Fine-Tuning, and Generalization with Large Scale Models , 2023
Conference on Neural Information Processing Systems (NeurIPS) Workshop on Foundation Models for Decision Making, 2023

Selected Honors & Awards

  • Dean's List, NUS
  • Certificate of Oustanding Performance & Top Students in CS4243 Computer Vision and Pattern Recognition (graduate level course), NUS
  • Certificate of Best Project Award in CS4246/CS5446 AI Planning and Decision Making (graduate level course), NUS
  • The Science & Technology Undergraduate Scholarship (an undergraduate full scholarship offered to support outstanding students), NUS & Singapore Ministry of Education

Experiences

Oct. 2023 - Feb. 2024
Undergraduate Research Assistant @ UIUC
Robotic Perception, Interaction, and Learning Lab (RoboPIL)
Advisor: Prof. Yunzhu Li
Worked on action-conditioned scene graph building via interactive exploration for robotic manipulation, incorporating the Large Multimodal Model (LMM).
Apr. 2023 - Sep. 2023
Undergraduate Visiting Research Intern @ Stanford
Stanford Vision and Learning Lab (SVL)
Advisor: Prof. Jiajun Wu and Prof. Yunzhu Li
Worked on designing an ideal scene representation for Embodied AI by leveraging foundation models, which is 3D, dynamic, and semantic.
Jan. 2021 - Aug. 2021
Undergraduate Research Assistant @ NUS
Adaptive Computing Lab (AdaComp)
Advisor: Prof. David Hsu
Worked on designing the control and system architecture for autonomous long-horizon visual navigation.

Teaching

Teaching Assistant
  • CS3244: Machine Learning, Fall 2021, NUS
  • CS2040: Data Structures and Algorithms, Fall 2020, NUS
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