Symbol * or ^ represents equal contribution or advising.


  1. RA-L
    E(2)-Equivariant Graph Planning for Navigation
    IEEE Robotics and Automation Letters, 2024
    To be presented at IROS 2024 in Abu Dhabi, UAE :camel:.
    We study E(2) Euclidean equivariance in navigation on geometric graphs and develop message passing network to solve it.


  1. thesis-animation.gif
    Toward Efficient Stereo-based Obstacle Detection Using Deep Neural Network
    Hongyu Li
    Northeastern University, 2023
  2. RA-L
    ViHOPE: Visuotactile In-Hand Object 6D Pose Estimation with Shape Completion
    Hongyu LiSnehal DikhaleSoshi Iba, and Nawid Jamali
    IEEE Robotics and Automation Letters, 2023
    To be presented at ICRA 2024 in Yokohama, Japan :jp:.
    Presented at NeurIPS 2023 Workshop on Touch Processing in New Orleans, LA :us:.
  3. ICRA
    StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks
    In IEEE International Conference on Robotics and Automation (ICRA), 2023
    Presented at IROS 2022 Agile Robotics Workshop in Kyoto, Japan :jp:.


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