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 9 papers between 2022 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

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