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20192023
most citedEuclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems

16 citations · 47 across the 16 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.RO2020★ 2 cited

Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees

M. Asif Rana, Anqi Li, Dieter Fox +3

Generating robot motion that fulfills multiple tasks simultaneously is challenging due to the geometric constraints imposed by the robot. In this paper, we propose to solve multi-t…

cs.RO2020★ 3 cited

Optimization Fabrics for Behavioral Design

Nathan D. Ratliff, Karl Van Wyk, Mandy Xie +2

A common approach to the provably stable design of reactive behavior, exemplified by operational space control, is to reduce the problem to the design of virtual classical mechanic…

cs.RO2020★ 14 cited

Geometric Fabrics for the Acceleration-based Design of Robotic Motion

Mandy Xie, Karl Van Wyk, Anqi Li +5

This paper describes the pragmatic design and construction of geometric fabrics for shaping a robot's task-independent nominal behavior, capturing behavioral components such as obs…

cs.RO2020

Generalized Nonlinear and Finsler Geometry for Robotics

Nathan D. Ratliff, Karl Van Wyk, Mandy Xie +2

Robotics research has found numerous important applications of Riemannian geometry. Despite that, the concept remain challenging to many roboticists because the background material…

cs.RO2020

Optimization Fabrics

Nathan D. Ratliff, Karl Van Wyk, Mandy Xie +2

This paper presents a theory of optimization fabrics, second-order differential equations that encode nominal behaviors on a space and can be used to define the behavior of a smoot…

cs.RO2020★ 16 cited

Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems

Muhammad Asif Rana, Anqi Li, Dieter Fox +3

Robotic tasks often require motions with complex geometric structures. We present an approach to learn such motions from a limited number of human demonstrations by exploiting the…