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20192023
most citedModel Predictive Tracking Control for Invariant Systems on Matrix Lie Groups via Stable Embedding into Euclidean Spaces

14 citations · 43 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2023★ 12 cited

Contact-rich SE(3)-Equivariant Robot Manipulation Task Learning via Geometric Impedance Control

Joohwan Seo, Nikhil Potu Surya Prakash, Xiang Zhang +4

This paper presents a differential geometric control approach that leverages SE(3) group invariance and equivariance to increase transferability in learning robot manipulation task…

stat.ME2022★ 2 cited

Regularized Nonlinear Regression with Dependent Errors and its Application to a Biomechanical Model

Hojun You, Kyubaek Yoon, Wei-Ying Wu +2

A biomechanical model often requires parameter estimation and selection in a known but complicated nonlinear function. Motivated by observing that data from a head-neck position tr…

cs.RO2022★ 11 cited

Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning

Hyunwoo Ryu, Hong-in Lee, Jeong-Hoon Lee +1

End-to-end learning for visual robotic manipulation is known to suffer from sample inefficiency, requiring large numbers of demonstrations. The spatial roto-translation equivarianc…

cs.LG2021

Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies

Jeong-Hoon Lee, Jongeun Choi

Deep reinforcement learning has shown its effectiveness in various applications, providing a promising direction for solving tasks with high complexity. However, naively applying c…

stat.ME2021★ 4 cited

Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters

Kyubaek Yoon, Hojun You, Wei-Ying Wu +8

In system identification, estimating parameters of a model using limited observations results in poor identifiability. To cope with this issue, we propose a new method to simultane…

math.OC2019★ 14 cited

Model Predictive Tracking Control for Invariant Systems on Matrix Lie Groups via Stable Embedding into Euclidean Spaces

Dong Eui Chang, Karmvir Singh Phogat, Jongeun Choi

For controller design for systems on manifolds embedded in Euclidean space, it is convenient to utilize a theory that requires a single global coordinate system on the ambient Eucl…