关注
Shaoshu Su
Shaoshu Su
PhD Student, University at Buffalo, SUNY
在 buffalo.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
islam: Imperative slam
T Fu, S Su, Y Lu, C Wang
IEEE Robotics and Automation Letters, 2024
162024
Subt-mrs: A subterranean, multi-robot, multi-spectral and multi-degraded dataset for robust slam
S Zhao, D Singh, H Sun, R Jiang, YJ Gao, T Wu, J Karhade, C Whittaker, ...
arXiv preprint arXiv:2307.07607, 2023
102023
SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments
S Zhao, Y Gao, T Wu, D Singh, R Jiang, H Sun, M Sarawata, Y Qiu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
82024
Multirobot fully distributed active joint localization and target tracking
S Su, P Zhu, W Ren
IEEE Transactions on Control Systems Technology 31 (4), 1594-1606, 2023
62023
PyPose v0. 6: The Imperative Programming Interface for Robotics
Z Zhan, X Li, Q Li, H He, A Pandey, H Xiao, Y Xu, X Chen, K Xu, K Cao, ...
arXiv preprint arXiv:2309.13035, 2023
42023
Imperative learning: A self-supervised neural-symbolic learning framework for robot autonomy
C Wang, K Ji, J Geng, Z Ren, T Fu, F Yang, Y Guo, H He, X Chen, Z Zhan, ...
arXiv preprint arXiv:2406.16087, 2024
22024
Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing
S Su, C Hao, C Weaver, C Tang, W Zhan, M Tomizuka
IFAC-PapersOnLine 56 (2), 7940-7947, 2023
22023
An optimization approach to fully distributed active joint localization and target tracking in multi-robot systems
S Su, P Zhu, W Ren
2022 American Control Conference (ACC), 5081-5086, 2022
22022
Deep Reinforcement Learning Based Distributed Active Joint Localization and Target Tracking
D Wang, S Su, W Ren, C Hao
2024 American Control Conference (ACC), 486-491, 2024
2024
Fully Distributed Active Joint Localization and Target Tracking Algorithms Design for Multi-Robot System
S Su
University of California, Riverside, 2022
2022
系统目前无法执行此操作,请稍后再试。
文章 1–10