Lirui Wang

I am a first-year Ph.D. student advised by Prof. Russ Tedrake at the MIT Computer Science and Artificial Intelligence Laboratory (MIT CSAIL). Before coming to MIT, I received my B.S. and M.S. degrees at the University of Washington where I was very fortunate to work with Prof. Dieter Fox and collaborate with NVIDIA.

My research interest lies in the intersection of Robotics and Machine Learning. In particular, I am interested in developing algorithms and systems that can generalize and adapt in the complex and unstructured real-world environments.

Email: liruiw [at] mit (dot) edu [Google Scholar] / [Github] / [Twitter]


    Publications

    PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation
    Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy
    In arXiv, 2021
    arXiv, Bibtex, Video, Blog
    Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans
    Lirui Wang, Xiangyun Meng, Yu Xiang, Dieter Fox
    IEEE Robotics and Automation Letters (RAL), 2022
    arXiv, Bibtex, Video, Website, Code
    Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
    Lirui Wang, Yu Xiang, Wei Yang, Arsalan Mousavian, Dieter Fox
    The Conference on Robot Learning (CoRL), 2021
    arXiv, Bibtex, Video, Website, Code
    Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection
    Lirui Wang, Yu Xiang, Dieter Fox
    In Robotics: Science and Systems (R:SS), 2020
    arXiv, Bibtex, Video, Website, Code

    Education

  • 2021.9 - present, Massachusetts Institute of Technology
    Ph.D. student in Computer Science
  • 2020.6 - 2021.3, University of Washington
    Master of Science in Computer Science
  • 2016.9 - 2020.6, University of Washington (Summa Cum Laude)
    Bachelor of Science in Computer Science (honors)
    Bachelor of Science in Electrical Engineering (honors)

    Selected Honors

  • MIT EECS Fellowship (Xianhong Wu Fellow), MIT, 2021
  • Bob Herbold Data Science Fellowship, UW, 2021
  • Patricia Lynch and Theodora & Eugene Russell Memorial Scholarship, UW, 2020
  • Lawrence & Lucille Frey Endowed Scholarship, UW, 2019
  • Tau Beta Pi Scholarship, UW, 2018

    Teaching

  • TA, CSE 455 Computer Vision (UW, Winter 2021)
  • TA, CSE 543 Deep Learning (UW, Autumn 2020)
  • TA, CSE 473 Artificial Intelligence (UW, Winter 2020)
  • TA, CSE 455 Computer Vision (UW, Autumn 2019)

    Misc Projects

    DeepIM Pose Tracking
    UW
    Server Mover
    Microsoft
    Auto Cooperation
    DJI