Home /Research /State estimation of hydraulic quadruped robots using invariant-EKF and kinematics with neural networks
LOCOMOTION

State estimation of hydraulic quadruped robots using invariant-EKF and kinematics with neural networks

Shangru Yang, Qingjun Yang, Rui Zhu, Zhenyang Zhang, Congfei Li, Hu Liu

Year
2023
Citations
9

Keywords

OdometryExtended Kalman filterInertial measurement unitControl theory (sociology)Robustness (evolution)Computer scienceRobotOdometerArtificial intelligenceKinematics

Related papers

Browse all LOCOMOTION papers