RCL-NUS/NeuroMHE
Neural Moving Horizon Estimation (NeuroMHE) is an auto-tuning and adaptive optimal estimator. It fuses a nueral network with an MHE to render fast online adaptation to state-dependent noise. The neural network can be efficiently trained from the robot's trajectory tracking errors without the need for the ground truth data.
Python
Stargazers
- abdelhakim96EIVA a/s
- BruceXiefromnpuBeihang University
- caomuqing
- chaoyue729DX-inc
- charmyoung@AgibotTech @ZJU-FAST-Lab @RoboMaster
- dianmoli61
- FFFAKE001
- GudFish
- Gusongjian
- hanntonkinLAAS
- heleidsnNUS
- HuKangleJilin Uni
- jinaoaoNWPU
- jkangkjr
- Li-JinjieThe University of Tokyo
- linzuen
- looovely无
- macnackUniversity of Technology Poznan
- maulanaazhari
- modest666
- NamDinhRoboticsCBNU
- PathetiueSun Yat-sen University
- qiayuanlUC Berkeley
- RGBlimp
- RuiHuangNUSNational University of Singapore
- sjYoondeltarSeoul
- soul0knightNortheastern University
- suezereShaanxi,China
- WGBmushi
- wuyou33
- XiangL-Repo
- xjp99v5Nanyang Technological University, Singapore
- y01234Chaobiao
- Yongming-Yue
- zhangwg2006
- Zichen-Yan