Shaoshu Su

Orcid: 0000-0003-1690-2327

Affiliations:
  • State University of New York at Buffalo, Spatial AI & Robotics Lab, Buffalo, NY, USA
  • University of California, Riverside, Department of Electrical and Computer Engineering, CA, USA (former)


According to our database1, Shaoshu Su authored at least 17 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
Fast Task Planning With Neuro-Symbolic Relaxation.
IEEE Robotics Autom. Lett., March, 2026

Learning When to Jump for Off-road Navigation.
CoRR, February, 2026

2025
Vision-Language Memory for Spatial Reasoning.
CoRR, November, 2025

VL-Nav: Real-time Vision-Language Navigation with Spatial Reasoning.
CoRR, February, 2025

AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation.
CoRR, January, 2025

iKap: Kinematics-Aware Planning with Imperative Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
iSLAM: Imperative SLAM.
IEEE Robotics Autom. Lett., May, 2024

iKap: Kinematics-aware Planning with Imperative Learning.
CoRR, 2024

Imperative Learning: A Self-supervised Neural-Symbolic Learning Framework for Robot Autonomy.
CoRR, 2024

SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Deep Reinforcement Learning Based Distributed Active Joint Localization and Target Tracking.
Proceedings of the American Control Conference, 2024

2023
Multirobot Fully Distributed Active Joint Localization and Target Tracking.
IEEE Trans. Control. Syst. Technol., July, 2023

PyPose v0.6: The Imperative Programming Interface for Robotics.
CoRR, 2023

iSLAM: Imperative SLAM.
CoRR, 2023

Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing.
CoRR, 2023

2022
An Optimization Approach to Fully Distributed Active Joint Localization and Target Tracking in Multi-Robot Systems.
Proceedings of the American Control Conference, 2022


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