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20162021
most citedTire Force Estimation in Intelligent Tires Using Machine Learning

130 citations · 150 across the 12 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.RO2020

Modeling, Vibration Control, and Trajectory Tracking of a Kinematically Constrained Planar Hybrid Cable-Driven Parallel Robot

Ronghuai Qi, Amir Khajepour, William W. Melek

This paper presents a kinematically constrained planar hybrid cable-driven parallel robot (HCDPR) for warehousing applications as well as other potential applications such as rehab…

cs.RO2020

Workspace Analysis and Optimal Design of Cable-Driven Parallel Robots via Auxiliary Counterbalances

Ronghuai Qi, Hamed Jamshidifar, Amir Khajepour

Cable-driven parallel robots (CDPRs) are widely investigated and applied in the worldwide; however, traditional configurations make them to be limited in reaching their maximum wor…

cs.RO2020

Redundancy Resolution and Disturbance Rejection via Torque Optimization in Hybrid Cable-Driven Robots

Ronghuai Qi, Amir Khajepour, William W. Melek

This paper presents redundancy resolution and disturbance rejection via torque optimization in Hybrid Cable-Driven Robots (HCDRs). To begin with, we initiate a redundant HCDR for n…

eess.SY2020★ 130 cited

Tire Force Estimation in Intelligent Tires Using Machine Learning

Nan Xu, Hassan Askari, Yanjun Huang +2

The concept of intelligent tires has drawn attention of researchers in the areas of autonomous driving, advanced vehicle control, and artificial intelligence. The focus of this pap…

eess.SP2020

Lateral Force Prediction using Gaussian Process Regression for Intelligent Tire Systems

Bruno Henrique Groenner Barbosa, Nan Xu, Hassan Askari +1

Understanding the dynamic behavior of tires and their interactions with road plays an important role in designing integrated vehicle control strategies. Accordingly, having access…