The AMM lab contributes to several open source projects. Head out to the Orebro University github page to find out more.

We also maintain and release a number of git repositories linked to our publications under our local git-lab server at https://gitsvn-nt.oru.se/ammlab-public.

Learning models for deformable linear objects

This repository contains code accompanying the paper "Learning to Propagate Interaction Effects for Modeling Deformable Linear Objects Dynamics", Y. Yang, J. A. Stork, T.Stoyanov, ICRA2021.

Data sets

In addition to software, we also provide access to some of the data sets used in our papers.

Visual State Estimation

A data set for joint state estimation of a Boomer E2 underground drilling rig. Images collected under varying lightning conditions to test transfer.