252 citations · 350 across the 21 of their papers we have counts for
3 papers · 2 filters
Probabilistic Differentiable Filters Enable Ubiquitous Robot Control with Smartwatches
Fabian C Weigend, Xiao Liu, Heni Ben Amor
Ubiquitous robot control and human-robot collaboration using smart devices poses a challenging problem primarily due to strict accuracy requirements and sparse information. This pa…
Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters
Xiao Liu, Geoffrey Clark, Joseph Campbell +2
This paper introduces a novel state estimation framework for robots using differentiable ensemble Kalman filters (DEnKF). DEnKF is a reformulation of the traditional ensemble Kalma…
Learning Soft Robot Dynamics using Differentiable Kalman Filters and Spatio-Temporal Embeddings
Xiao Liu, Shuhei Ikemoto, Yuhei Yoshimitsu +1
This paper introduces a novel approach for modeling the dynamics of soft robots, utilizing a differentiable filter architecture. The proposed approach enables end-to-end training t…