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20182026
most citedDecentralized Observer Design for Virtual Decomposition Control

16 citations · 116 across the 50 of their papers we have counts for

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Showing 2024Show all

10 papers · 1 filter

eess.SY2024

Combining Deep Reinforcement Learning with a Jerk-Bounded Trajectory Generator for Kinematically Constrained Motion Planning

Seyed Adel Alizadeh Kolagar, Mehdi Heydari Shahna, Jouni Mattila

Deep reinforcement learning (DRL) is emerging as a promising method for adaptive robotic motion and complex task automation, effectively addressing the limitations of traditional c…

cs.RO2024

Energy-Cautious Designation of Kinematic Parameters for a Sustainable Parallel-Serial Heavy-Duty Manipulator Driven by Electromechanical Linear Actuator

Alvaro Paz, Mohammad Bahari, Jouni Mattila

Electrification, a key strategy in combating climate change, is transforming industries, and off-highway machines (OHM) will be next to transition from combustion engines and hydra…

eess.SY2024

System-Level Performance Metrics Sensitivity of an Electrified Heavy-Duty Mobile Manipulator

Mohammad Bahari, Alvaro Paz, Jouni Mattila

The shift to electric and hybrid powertrains in vehicular systems has propelled advancements in mobile robotics and autonomous vehicles. This paper examines the sensitivity of key…

eess.SY2024★ 6 cited

Robust Model-Free Control Framework with Safety Constraints for a Fully Electric Linear Actuator System

Mehdi Heydari Shahna, Pauli Mustalahti, Jouni Mattila

This paper introduces a novel model-free control strategy for a complex multi-stage gearbox electromechanical linear actuator (EMLA) system, driven by a permanent magnet synchronou…

eess.SY2024

System-Level Efficient Performance of EMLA-Driven Heavy-Duty Manipulators via Bilevel Optimization Framework with a Leader--Follower Scenario

Mohammad Bahari, Alvaro Paz, Mehdi Heydari Shahna +1

The global push for sustainability and energy efficiency is driving significant advancements across various industries, including the development of electrified solutions for heavy…

eess.SY2024★ 1 cited

Model-Free Generic Robust Control for Servo-Driven Actuation Mechanisms with Layered Insight into Energy Conversions

Mehdi Heydari Shahna, Jouni Mattila

To advance theoretical solutions and address limitations in modeling complex servo-driven actuation systems experiencing high non-linearity and load disturbances, this paper aims t…

eess.SY2024★ 7 cited

Robust Sensor-Limited Control with Safe Input-Output Constraints for Hydraulic In-Wheel Motor Drive Mobility Systems

Mehdi Heydari Shahna, Pauli Mustalahti, Jouni Mattila

In-wheel drive (IWD) systems enhance the responsiveness, traction, and maintenance efficiency of vehicles by enabling each wheel to operate independently. This paper proposes a nov…

cs.RO2024

Impact-Resilient Orchestrated Robust Controller for Heavy-duty Hydraulic Manipulators

Mahdi Hejrati, Jouni Mattila

Heavy-duty operations, typically performed using heavy-duty hydraulic manipulators (HHMs), are susceptible to environmental contact due to tracking errors or sudden environmental c…

cs.RO2024

Analytical Forward Dynamics Modeling of Linearly Actuated Heavy-Duty Parallel-Serial Manipulators

Paz Alvaro, Jouni Mattila

This paper presents a new geometric and recursive algorithm for analytically computing the forward dynamics of heavy-duty parallel-serial mechanisms. Our solution relies on express…

cs.RO2024★ 8 cited

Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks

Mehdi Heydari Shahna, Seyed Adel Alizadeh Kolagar, Jouni Mattila

In robotics, contemporary strategies are learning-based, characterized by a complex black-box nature and a lack of interpretability, which may pose challenges in ensuring stability…