Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters

19 August 2023

Papers citing "Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters"

7 / 7 papers shown

Title
Auto-differentiable Ensemble Kalman Filters Yuming Chen D. Sanz-Alonso Rebecca Willett 65 35 0 16 Jul 2021
Differentiable Particle Filters through Conditional Normalizing Flow Xiongjie Chen Hao Wen Yunpeng Li 36 20 0 01 Jul 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport Adrien Corenflos James Thornton George Deligiannidis Arnaud Doucet OT 61 68 0 15 Feb 2021
Multimodal Sensor Fusion with Differentiable Filters Michelle A. Lee Brent Yi Roberto Martín-Martín Silvio Savarese Jeannette Bohg 42 59 0 25 Oct 2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning Yuke Zhu J. Wong Ajay Mandlekar Roberto Martín-Martín Abhishek Joshi Soroush Nasiriany Yifeng Zhu Soroush Nasiriany Yifeng Zhu 154 438 0 25 Sep 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 77 620 0 14 Jul 2020
On the Convergence of the Ensemble Kalman Filter Jan Mandel L. Cobb J. Beezley 87 141 0 20 Jan 2009