Search Results for author: Inna Sharf

Found 3 papers, 1 papers with code

Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning

no code implementations5 Oct 2019 Sahand Rezaei-Shoshtari, David Meger, Inna Sharf

Motivated by the recursive Newton-Euler formulation, we propose a novel cascaded Gaussian process learning framework for the inverse dynamics of robot manipulators.

Dimensionality Reduction Gaussian Processes

Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference

1 code implementation22 Jul 2020 Sahand Rezaei-Shoshtari, David Meger, Inna Sharf

Utilization of latent space to capture a lower-dimensional representation of a complex dynamics model is explored in this work.

Object

Stability Constrained Mobile Manipulation Planning on Rough Terrain

no code implementations10 May 2021 Jiazhi Song, Inna Sharf

This paper presents a framework that allows online dynamic-stability-constrained optimal trajectory planning of a mobile manipulator robot working on rough terrain.

Computational Efficiency Trajectory Planning

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