Výsledky vyhledávání - "Taheri, Abdolreza"

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Towards Energy Efficient Control for Commercial Heavy-Duty Mobile Cranes: Modeling Hydraulic Pressures using Machine Learning

Autor: Taheri, Abdolreza, Pettersson, Robert, Gustafsson, Pelle, Pajarinen, Joni, Ghabcheloo, Reza

Publikováno v: 18th Scandinavian International Conference on Fluid Power, SICFP'23, May 30- June 1, 2023, Tampere, Finland

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 towards reducing CO$_{2}$ emissions has sparked the development of sol

Externí odkaz: http://arxiv.org/abs/2307.16681

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GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control

Autor: Taheri, Abdolreza, Pajarinen, Joni, Ghabcheloo, Reza

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. However, the computational complexity of GPs has made p

Externí odkaz: http://arxiv.org/abs/2202.13638

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Autonomous Heavy-Duty Mobile Machinery: A Multidisciplinary Collaborative Challenge

Autor: Machado, Tyrone, Fassbender, David, Taheri, Abdolreza, Eriksson, Daniel, Gupta, Himanshu, Molaei, Amirmasoud, Forte, Paolo, Rai, Prashant, Ghabcheloo, Reza, Mäkinen, Saku, Lilienthal, Achim, Andreasson, Henrik, Geimer, Marcus

Publikováno v: 2021 IEEE International Conference on Technology and Entrepreneurship (ICTE), 2021, Kaunas, Lithuania, pp. 1-8

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 shortage, poor safety records, and harsh work environments. Consequently, eff

Externí odkaz: http://arxiv.org/abs/2112.02662

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Dynamic-Programming-Based Failure-Tolerant Control for Satellite with Thrusters in 6-DOF Motion

Autor: Taheri, Abdolreza, Assadian, Nima

Publikováno v: Advances in Space Research, Volume 65, Issue 12, 15 June 2020, Pages 2857-2877

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, dynamic-programming-based optimal policies are calculated using decou

Externí odkaz: http://arxiv.org/abs/2110.00783

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