Hongyu Li (李鸿宇)

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Welcome! I am a second year Ph.D. student in Computer Science at Brown University. I work with Prof. Srinath Sridhar at Interactive 3D Vision & Learning Lab. I’m also working as an Applied Scientist intern at Amazon Robotics advised by Prof. Taskin Padir.

My research interests revolve around the convergence of computer vision, machine learning, and robotics, particularly in the field of robot perception (vision and touch) and planning. Perception and planning play a crucial role in various robotics domains, and I am currently focused on developing deep learning models for environment and object interaction.

Before joining Brown University, I worked with Prof. Huaizu Jiang and Prof. Taskin Padir at Northeastern University. I also did two research internships at Honda Research Institute, focusing on visuotactile perception under the guidance of Dr. Nawid Jamali and Dr. Soshi Iba.

I serve as a reviewer for conferences such as ICRA, IROS, CVPR, ECCV, CHI, and journals including RA-L, Neurocomputing, TCSVT, among others.

News

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)!
Aug 25, 2023 Our work ViHOPE is accepted to RA-L. See you in Yokohama :jp: (ICRA 2024)!
May 15, 2023 I receive a $1,300 RAS travel grant for ICRA 2023.
Apr 17, 2023 I will present our work in progress, StereoNavNet: Learning to Navigate using Stereo Camera with Auxiliary Occupancy Voxels, at CVPR 2023 3D Vision and Robotics in Vancouver :canada:.

Selected Publications

Symbol * or † represents equal contribution or advising.

2024

  1. IROS
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    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
  2. IROS
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    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
  3. IROS
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    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

2023

  1. RA-L / ICRA
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    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
    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
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    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

2022

  1. IROS
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    Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives
    Neset Unver Akmandor, Hongyu Li, Gary Lvov, Eric Dusel, and Taskin Padir
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
    arXiv PDF Code