Legged Robot State Estimation Using Invariant Neural-Augmented Kalman Filter with a Neural Compensator

1 March 2025

Papers citing "Legged Robot State Estimation Using Invariant Neural-Augmented Kalman Filter with a Neural Compensator"

9 / 9 papers shown

Title
Perceptive Locomotion through Nonlinear Model Predictive Control R. Grandia Fabian Jenelten Shao-hua Yang Farbod Farshidian Marco Hutter 82 150 0 17 Aug 2022
Learning robust perceptive locomotion for quadrupedal robots in the wild Takahiro Miki Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 135 713 0 20 Jan 2022
Learning Inertial Odometry for Dynamic Legged Robot State Estimation Russell Buchanan Marco Camurri F. Dellaert Maurice F. Fallon 67 34 0 01 Nov 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning Nikita Rudin David Hoeller Philipp Reist Marco Hutter 255 582 0 24 Sep 2021
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning Viktor Makoviychuk Lukasz Wawrzyniak Yunrong Guo Michelle Lu Kier Storey ... David Hoeller Nikita Rudin Arthur Allshire Ankur Handa Gavriel State 180 1,092 0 24 Aug 2021
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics Guy Revach Nir Shlezinger Xiaoyong Ni Adrià López Escoriza Ruud J. G. van Sloun Yonina C. Eldar 94 286 0 21 Jul 2021
Learning Quadrupedal Locomotion over Challenging Terrain Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 148 1,180 0 21 Oct 2020
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping Tixiao Shan Brendan Englot Drew Meyers Wei Wang C. Ratti Daniela Rus 68 1,340 0 01 Jul 2020
Contact-Aided Invariant Extended Kalman Filtering for Robot State Estimation R. Hartley Maani Ghaffari Jadidi Ryan Eustice J. Grizzle 136 262 0 19 Apr 2019