Hongyu Li

Orcid: 0000-0002-4588-9929

Affiliations:
  • Brown University, Providence, RI, USA
  • Honda Research Institute USA (HRI-US), San Jose, CA, USA
  • Northeastern University, Boston, MA, USA (former)


According to our database1, Hongyu Li authored at least 14 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors.
CoRR, March, 2026

NovaPlan: Zero-Shot Long-Horizon Manipulation via Closed-Loop Video Language Planning.
CoRR, February, 2026

2025
NovaFlow: Zero-Shot Manipulation via Actionable Flow from Generated Videos.
CoRR, October, 2025

UniTac: Whole-Robot Touch Sensing Without Tactile Sensors.
CoRR, July, 2025

V-HOP: Visuo-Haptic 6D Object Pose Tracking.
CoRR, February, 2025

ViTa-Zero: Zero-shot Visuotactile Object 6D Pose Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024
-Equivariant Graph Planning for Navigation.
IEEE Robotics Autom. Lett., 2024

ODTFormer: Efficient Obstacle Detection and Tracking with Stereo Cameras Based on Transformer.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

StereoNavNet: Learning to Navigate using Stereo Cameras with Auxiliary Occupancy Voxels.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

HyperTaxel: Hyper-Resolution for Taxel-Based Tactile Signals Through Contrastive Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023
ViHOPE: Visuotactile In-Hand Object 6D Pose Estimation With Shape Completion.
IEEE Robotics Autom. Lett., November, 2023

E(2)-Equivariant Graph Planning for Navigation.
CoRR, 2023

StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022


  Loading...