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Youcef Mezouar

26 accepted papers

2026

Dual Quaternion Based Compliant Movement Primitives for Deformable Object Manipulation

ICRA 2026poster

Learning from demonstration effectively transfers human manipulation skills to robots. It can be especially useful for imitating industrial manipulation tasks which are performed by humans and are difficult to model such as deformable object manipulation. Manipulation of deformable objects often req…

Cited by 0Scholar
2026

Safe and Adaptive Multi-Target Encirclement With Socially Aware Multi-Robot Control

RA-L 2026

This paper addresses the problem of surrounding and tracking dynamic groups of moving targets with unknown velocities using a team of mobile robots. We introduce a control strategy for multi-robot systems that continuously maintains a safety distance between each robot and the convex hull of the tar

Cited by 0SourceScholar
2025

Unsupervised Discovery of Objects Physical Properties Through Maximum Entropy Reinforcement Learning

RA-L 2025

Understanding the environment is crucial for autonomous robots to perform navigation and manipulation tasks. Never-seen-before objects may have complex appearances and dynamics, where only physical interactions can help to identify visually hidden properties like mass or friction. In this work we pr

Cited by 0SourceScholar
2024

A Soft Variable Stiffness Gripper with Magnetorheological Fluids for Robust and Reliable Grasping

RA-L 2024

This paper describes a new type of soft robotic grippers with variable stiffness to grasp efficiently a wide variety of objects. The gripper includes two sections, a pneumatic chamber for actuation and a tipping section for adjusting stiffness and shape adaptation. The tipping section consists of Ma

Cited by 14SourceScholar
2024

Markerless Ultrasnd Probe Pose Estimation in Mini-Invasive Surgery

ICRA 2024

In mini-invasive surgery, the laparoscopic ultra-sound probe is visible in the laparoscopic image. We address the problem of estimating the probe pose with respect to the laparoscope without using markers and additional sensors. We propose the first method using a single standard laparoscopic monocu

Cited by 2SourceScholar
2024

Markerless Ultrasound Probe Pose Estimation in Mini-Invasive Surgery

ICRA 2024poster

In mini-invasive surgery, the laparoscopic ultra-sound probe is visible in the laparoscopic image. We address the problem of estimating the probe pose with respect to the laparoscope without using markers and additional sensors. We propose the first method using a single standard laparoscopic monocu…

Cited by 1SourceScholar
2024

Multi Actor-Critic DDPG for Robot Action Space Decomposition: A Framework to Control Large 3D Deformation of Soft Linear Objects

RA-L 2024

Robotic manipulation of deformable linear objects (DLOs) has great potential for applications in diverse fields such as agriculture or industry. However, a major challenge lies in acquiring accurate deformation models that describe the relationship between robot motion and DLO deformations. Such mod

Cited by 16SourcecodeScholar
2024

Multidirectional slip detection and avoidance using dynamic 3D tactile meshes from visuotactile sensors

IROS 2024

Visuotactile sensors have gained attention during the last years in robotics because they are able to reconstruct with high precision the 3D contact shape (or mesh) between the robotic fingers and the object. A new slip detection and avoidance algorithm is proposed based on the dynamic variation of

Cited by 1SourceScholar
2023

Double-Integrator Multirobot Control With Uncoupled Dynamics for Transport of Deformable Objects

RA-L 2023

We present a formation controller for a team of mobile robots, modelled with double-integrator dynamics, to manipulate deformable objects grasped around their contour. The manipulation task is defined as reaching a target configuration consisting of a desired shape, scale, position and orientation o

Cited by 7SourceScholar
2023

Dual quaternion based dynamic movement primitives to learn industrial tasks using teleoperation

ICRA 2023poster

Dynamic movement primitives (DMPs) provide an effective method of learning manipulation skills from human demonstration. DMPs can be especially useful for imitating industrial manipulation tasks which are performed by humans and are difficult to model, for instance, deformable object manipulation. I…

Cited by 4SourceScholar
2022

An offline geometric model for controlling the shape of elastic linear objects

IROS 2022poster

We propose a new approach to control the shape of deformable objects with robots. Specifically, we consider a fixed-length elastic linear object lying on a 2D workspace. Our main idea is to encode the object's deformation behavior in an offline constant Jacobian matrix. To derive this Jacobian, we u…

Cited by 14SourceScholar
2022

Editorial: Robotic Handling of Deformable Objects

RA-L 2022

The papers in this special section focus on robotic handling of deformable objects. Object handling and manipulation is a recurrent theme in robotics, moving progressively from simple rigid objects to articulated objects and then complex deformable objects. In recent years, there has been a growing

Cited by 4SourceScholar
2022

Multi-Trajectory Approach for a Generic Coordination Paradigm of Wheeled Mobile Manipulators

RA-L 2022

This letter presents a generic coordination approach for the control of mobile manipulators. It is based on an external coupled coordination and exploits a multi-trajectory following approach. A coordination stage provides optimal offsets with respect to system sub-parts reference trajectories that

Cited by 7SourceScholar
2022

Multirobot control with double-integrator dynamics and control barrier functions for deformable object transport

ICRA 2022poster

In this paper, we propose a formation control system for deforming and transporting simultaneously a de-formable object with a team of robots, modeled with double-integrator dynamics. The goal is to reach a target configuration, defined as a combination of shape, scale, orientation and position of t…

Cited by 10SourceScholar
2022

Optimal Shape Servoing with Task-focused Convergence Constraints

IROS 2022poster

Most deformable object manipulation tasks still rely on skillful human operators. To automate such tasks, a robotic system should not only be able to deform an object to a desired shape but also servo its deformation along a specific path towards the desired shape. We propose a shape servoing contro…

Cited by 2SourceScholar
2021

A Soft Robotic Gripper With an Active Palm and Reconfigurable Fingers for Fully Dexterous In-Hand Manipulation

RA-L 2021

This study is focused on developing a new dexterous soft robotic gripper with three fingers and an active palm capable of performing in-hand manipulation purposes. This innovative design meets all the dexterous manipulation requirements without any increase in mechanical complexity. In each finger,

Cited by 60SourceScholar
2021

Visual-Tactile Fusion for 3D Objects Reconstruction from a Single Depth View and a Single Gripper Touch for Robotics Tasks

IROS 2021poster

The planning of robotic manipulation and grasping tasks depends on the reconstruction of the 3D object’s shape. Most of the existing 3D object reconstruction methods are based on visual sensing that are limited due to the lack of the object’s occluded side information. The goal of this paper is to o…

Cited by 9SourceScholar
2020

Monocular Visual Shape Tracking and Servoing for Isometrically Deforming Objects

IROS 2020poster

We address the monocular visual shape servoing problem. This pushes the challenging visual servoing problem one step further from rigid object manipulation towards deformable object manipulation. Explicitly, it implies deforming the object towards a desired shape in 3D space by robots using monocula…

Cited by 40SourceScholar
2018

Online Shape Estimation based on Tactile Sensing and Deformation Modeling for Robot Manipulation

IROS 2018poster

Precise robot manipulation of deformable objects requires an accurate and fast estimation of their shape as they deform. So far, visual sensing has been mostly used to solve this issue, but vision sensors are sensitive to occlusions, which might be inevitable when manipulating an object with robot.…

Cited by 34SourceScholar
2017

Formation of differential-drive vehicles with field-of-view constraints for enclosing a moving target

ICRA 2017poster

An emerging application of multirobot systems is the monitoring of a dynamic event. Here, the goal is to enclose and track a moving target by attaining a desired geometric formation around it. By considering a circular pattern configuration for the target enclosing, the multirobot system is able to…

Cited by 17SourceScholar