Evaluation and comparison of eight popular Lidar and Visual SLAM algorithms

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.

Simultaneous Localization and Mapping

Monolithic vs. hybrid controller for multi-objective Sim-to-Real learning

1 code implementation • 17 Aug 2021 • Atakan Dag, Alexandre Angleraud, Wenyan Yang, Nataliya Strokina, Roel S. Pieters, Minna Lanz, Joni-Kristian Kamarainen

Our findings show that the training of a hybrid controller is easier and obtains a better success-failure trade-off than a monolithic controller.

Reinforcement Learning (RL)

Neural Network Controller for Autonomous Pile Loading Revised

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].