Search Results for author: Kiyanoush Nazari

Found 4 papers, 3 papers with code

Deep Functional Predictive Control for Strawberry Cluster Manipulation using Tactile Prediction

no code implementations9 Mar 2023 Kiyanoush Nazari, Gabriele Gandolfi, Zeynab Talebpour, Vishnu Rajendran, Paolo Rocco, Amir Ghalamzan E.

Pushing an object with a robot finger along a desired trajectory in 3D is a highly nonlinear and complex physical robot interaction, especially when the object is not stably grasped.


Deep Movement Primitives: toward Breast Cancer Examination Robot

1 code implementation14 Feb 2022 Oluwatoyin Sanni, Giorgio Bonvicini, Muhammad Arshad Khan, Pablo C. Lopez-Custodio, Kiyanoush Nazari, Amir M. Ghalamzan E.

This paper presents a novel approach to manipulation path/trajectory planning called deep Movement Primitives that successfully generates the movements of a manipulator to reach a breast phantom and perform the palpation.

Trajectory Planning

A data-set of piercing needle through deformable objects for Deep Learning from Demonstrations

1 code implementation4 Dec 2020 Hamidreza Hashempour, Kiyanoush Nazari, Fangxun Zhong, Amir Ghalamzan E.

Our study indicates RCNs improve the prediction accuracy of the model despite that the baseline feed-forward CNNs successfully learns the relationship between the visual information and the next step control actions of the robot.

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