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20202022
most citedTowards Latent Space Based Manipulation of Elastic Rods using Autoencoder Models and Robust Centerline Extractions

15 citations · 23 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.RO2022

A Novel Uncalibrated Visual Servoing Controller Baesd on Model-Free Adaptive Control Method with Neural Network

Haibin Zeng, Yueyong Lyu, Jiaming Qi +3

Nowadays, with the continuous expansion of application scenarios of robotic arms, there are more and more scenarios where nonspecialist come into contact with robotic arms. However…

cs.RO2022

Adaptive Finite-Time Model Estimation and Control for Manipulator Visual Servoing using Sliding Mode Control and Neural Networks

Haibin Zeng, Yueyong Lyu, Jiaming Qi +3

The image-based visual servoing without models of system is challenging since it is hard to fetch an accurate estimation of hand-eye relationship via merely visual measurement. Whe…

cs.RO2022

Model Predictive Manipulation of Compliant Objects with Multi-Objective Optimizer and Adversarial Network for Occlusion Compensation

Jiaming Qi, Dongyu Li, Yufeng Gao +2

The robotic manipulation of compliant objects is currently one of the most active problems in robotics due to its potential to automate many important applications. Despite the pro…

cs.RO20218 cited

Contour Moments Based Manipulation of Composite Rigid-Deformable Objects with Finite Time Model Estimation and Shape/Position Control

Jiaming Qi, Guangfu Ma, Jihong Zhu +4

The robotic manipulation of composite rigid-deformable objects (i.e. those with mixed non-homogeneous stiffness properties) is a challenging problem with clear practical applicatio…

cs.RO202115 cited

Towards Latent Space Based Manipulation of Elastic Rods using Autoencoder Models and Robust Centerline Extractions

Jiaming Qi, Guangfu Ma, Peng Zhou +3

The automatic shape control of deformable objects is a challenging (and currently hot) manipulation problem due to their high-dimensional geometric features and complex physical pr…

cs.RO2020

A Lyapunov-Stable Adaptive Method to Approximate Sensorimotor Models for Sensor-Based Control

David Navarro-Alarcon, Jiaming Qi, Jihong Zhu +1

In this article, we present a new scheme that approximates unknown sensorimotor models of robots by using feedback signals only. The formulation of the uncalibrated sensor-based re…