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Hongyu Li (李鸿宇)

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Welcome! I am a third-year Ph.D. candidate in Computer Science at Brown University, working with Prof. Srinath Sridhar and Prof. George Konidaris. I also collaborate closely with Prof. Stefanie Tellex and Prof. Yu Xiang. My research interests revolve around the convergence of robotics, machine learning, and computer vision, particularly in the co-design of robot perception (vision and touch) and planning. Perception and planning play crucial roles in various robotics domains, and I am currently focused on developing deep learning models for environmental and object interaction.

I’ve completed three research internships: one at Amazon Fulfillment Technologies & Robotics (Innovation Lab) and two at the Honda Research Institute. Before joining Brown University, I worked with Prof. Huaizu Jiang and Prof. Taskin Padir at Northeastern University.

I serve as a reviewer for conferences such as ICRA, IROS, CVPR, ECCV, ICCV, Humanoids, AAAI, and CHI, as well as journals including RA-L and Neurocomputing.

News

Apr 11, 2025 V-HOP is accepted by RSS 2025. See you in Los Angeles :us:!
Apr 1, 2025 I will join Robotics and AI Institute as a research intern.
Jan 31, 2025 My work during Amazon internship is accepted by ICRA 2025. See you in Atlanta :us:!
Jul 1, 2024 Four papers (including one RA-L) are accepted at IROS 2024, including one oral presentation.
Jan 20, 2024 Our work E(2)-Equivariant Graph Planning for Navigation is accepted to RA-L. See you in Abu Dhabi :camel: (IROS 2024)!

Experience

  1. Experience

    Robotics and AI Institute (fka Boston Dynamics AI Institute)
    06/2025 - 08/2025
    Research Intern
    Hosts: Jiahui Fu

  2. Experience

    Amazon Fulfillment Technologies & Robotics (Innovation Lab)
    05/2024 - 09/2024
    Applied Scientist II Intern
    Hosts: Taskin Padir and Tye Brady

  3. Experience

    Honda Research Institute
    09/2022 - 12/2022, 05/2023 - 08/2023
    Research Intern
    Hosts: Nawid Jamali and Soshi Iba

Selected Publications

Symbol * or † represents equal contribution or advising.

2025

  1. RSS
    v-hop.gif
    V-HOP: Visuo-Haptic 6D Object Pose Tracking
    Hongyu Li, Mingxi Jia, Tuluhan Akbulut, Yu Xiang, George Konidaris, and Srinath Sridhar
    In Robotics: Science and Systems (RSS), 2025
    arXiv HTML
  2. ICRA
    vita-zero.gif
    ViTa-Zero: Zero-shot Visuotactile Object 6D Pose Estimation
    Hongyu Li, James Akl, Srinath Sridhar, Tye Brady, and Taskin Padir
    In IEEE International Conference on Robotics and Automation (ICRA), 2025
    arXiv HTML

2024

  1. IROS
    odtformer.gif
    ODTFormer: Efficient Obstacle Detection and Tracking with Stereo Cameras Based on Transformer
    Tianye Ding*, Hongyu Li*, and Huaizu Jiang
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
    arXiv HTML Code
  2. IROS
    hypertaxel.gif
    HyperTaxel: Hyper-Resolution for Taxel-Based Tactile Signal Through Contrastive Learning
    Hongyu Li, Snehal Dikhale, Jinda Cui, Soshi Iba, and Nawid Jamali
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
    Unfortunately, we are unable to publish the code and the dataset per the company policy.
    arXiv
  3. IROS
    snn.gif
    StereoNavNet: Learning to Navigate using Stereo Cameras with Auxiliary Occupancy Voxels
    Hongyu Li, Taskin Padir, and Huaizu Jiang
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
    arXiv
  4. RA-L / IROS
    e2-preview.png
    E(2)-Equivariant Graph Planning for Navigation
    Linfeng Zhao*, Hongyu Li*, Taskin Padir, Huaizu Jiang†, and Lawson L.S Wong†
    IEEE Robotics and Automation Letters, 2024
    IROS 2024 (Oral) in Abu Dhabi, UAE :camel:.
    We study E(2) Euclidean equivariance in navigation on geometric graphs and develop message passing network to solve it.
    arXiv HTML PDF Code

2023

  1. RA-L / ICRA
    vihope-animation.gif
    ViHOPE: Visuotactile In-Hand Object 6D Pose Estimation with Shape Completion
    Hongyu Li, Snehal Dikhale, Soshi Iba, and Nawid Jamali
    IEEE Robotics and Automation Letters, 2023
    Unfortunately, we are unable to publish the code and the dataset per the company policy.
    Presented at ICRA 2024 in Yokohama, Japan :jp:.
    Presented at NeurIPS 2023 Workshop on Touch Processing in New Orleans, LA :us:.
    arXiv PDF
  2. ICRA
    hie.gif
    StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks
    Hongyu Li, Zhengang Li*, Neset Unver Akmandor*, Huaizu Jiang, Yanzhi Wang, and Taskin Padir
    In IEEE International Conference on Robotics and Automation (ICRA), 2023
    Presented at IROS 2022 Agile Robotics Workshop in Kyoto, Japan :jp:.
    arXiv HTML PDF Supp Code