Reza Langari

Professor

Texas A&M University

United States

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Reza Langari is a Professor at Texas A&M University College Station, USA. His research focuses on advanced control systems, rehabilitation technology, and energy management in autonomous vehicles, as evidenced by his recent publications on upper-limb rehabilitation exoskeletons and vehicle energy optimization strategies. Additionally, he explores game-theoretic models for traffic management and predictive models based on machine learning.

Articles (13)

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2021

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2020

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2020

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2020

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2020

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2020

Collaborators (1)

Hamid Khayyam

Senior Lecturer

RMIT University

AUSTRALIA

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Reza Langari

Research Interests

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Articles (13)

A Variable-Admittance Assist-As-Needed Controller for Upper-Limb Rehabilitation Exoskeletons

Modeling Human Upper Limb Trajectories for Reaching Motions on CLEVERarm

Stackelberg Differential Lane Change Game Based on MPC and Inverse MPC

Real-time self-adaptive Q-learning controller for energy management of conventional autonomous vehicles

Hierarchical Optimization of Speed Planning and Energy Management for Connected Hybrid Electric Vehicles Under Multi-Lane and Signal Lights Aware Scenarios

Low-Cost and High-Performance Adaptive Cruise Control Based on Inertial-Triggered Mechanism and Multi-Objective Optimization

CLEVERarm: A Lightweight and Compact Exoskeleton for Upper-Limb Rehabilitation

A Prediction Model Based on Artificial Neural Network for the Temperature Performance of a Hydrodynamic Retarder in Constant-Torque Braking Process

Weak Fault Feature Extraction of Rotating Machinery Based on Double-Window Spectrum Fusion Enhancement

A Game Theoretic Model Predictive Controller With Aggressiveness Estimation for Mandatory Lane Change

Robust Estimation of Vehicle Motion States Utilizing an Extended Set-Membership Filter

A Multi-Window Majority Voting Strategy to Improve Hand Gesture Recognition Accuracies Using Electromyography Signal

Interval Type-2 Trapezoidal Fuzzy Decision- Making Method With Consistency-Improving Algorithm and DEA Model

Collaborators (1)

Hamid Khayyam

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