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 Code
  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
    Unfortunately, we are unable to publish the code and the dataset per the company policy.
    arXiv
  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
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    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. thesis-animation.gif
    Toward Efficient Stereo-based Obstacle Detection Using Deep Neural Network
    Hongyu Li
    Northeastern University, 2023
  2. 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
    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
  3. 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