no code implementations • 31 Jul 2023 • Abdolreza Taheri, Robert Pettersson, Pelle Gustafsson, Joni Pajarinen, Reza Ghabcheloo
A sizable part of the fleet of heavy-duty machinery in the construction equipment industry uses the conventional valve-controlled load-sensing hydraulics.
no code implementations • 3 Aug 2022 • Bharath Garigipati, Nataliya Strokina, Reza Ghabcheloo
In this paper, we evaluate eight popular and open-source 3D Lidar and visual SLAM (Simultaneous Localization and Mapping) algorithms, namely LOAM, Lego LOAM, LIO SAM, HDL Graph, ORB SLAM3, Basalt VIO, and SVO2.
no code implementations • 28 Feb 2022 • Abdolreza Taheri, Joni Pajarinen, Reza Ghabcheloo
The ability of Gaussian processes (GPs) to predict the behavior of dynamical systems as a more sample-efficient alternative to parametric models seems promising for real-world robotics research.
no code implementations • 23 Mar 2021 • Wenyan Yang, Nataliya Strokina, Nikolay Serbenyuk, Joni Pajarinen, Reza Ghabcheloo, Juho Vihonen, Mohammad M. Aref, Joni-Kristian Kämäräinen
We have recently proposed two pile loading controllers that learn from human demonstrations: a neural network (NNet) [1] and a random forest (RF) controller [2].
no code implementations • 1 May 2019 • Francesco Lomio, Erjon Skenderi, Damoon Mohamadi, Jussi Collin, Reza Ghabcheloo, Heikki Huttunen
In this work we describe the preparation of a time series dataset of inertial measurements for determining the surface type under a wheeled robot.