14 citations · 24 across the 4 of their papers we have counts for
4 papers
Towards Energy Efficient Control for Commercial Heavy-Duty Mobile Cranes: Modeling Hydraulic Pressures using Machine Learning
Abdolreza Taheri, Robert Pettersson, Pelle Gustafsson +2
A sizable part of the fleet of heavy-duty machinery in the construction equipment industry uses the conventional valve-controlled load-sensing hydraulics. Rigorous climate actions…
GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control
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 robo…
Autonomous Heavy-Duty Mobile Machinery: A Multidisciplinary Collaborative Challenge
Tyrone Machado, David Fassbender, Abdolreza Taheri +10
Heavy-duty mobile machines (HDMMs) are a wide range of machinery used in diverse and critical application areas which are currently facing several issues like skilled labor shortag…
Dynamic-Programming-Based Failure-Tolerant Control for Satellite with Thrusters in 6-DOF Motion
Abdolreza Taheri, Nima Assadian
In this paper, a dynamic-programming approach to the coupled translational and rotational control of thruster-driven spacecraft is studied. To reduce the complexity of the problem,…