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Mohammad Alkhatib

8 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
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
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
2023

USMicroMagSet: Using Deep Learning Analysis to Benchmark the Performance of Microrobots in Ultrasound Images

RA-L 2023

Microscale robots introduce great perspectives into many medical applications such as drug delivery, minimally invasive surgery, and localized biometric diagnostics. Fully automatic microrobots' real-time detection and tracking using medical imagers are actually investigated for future clinical tran

Cited by 14SourceScholar
2022

Fully Automatic and Real-Time Microrobot Detection and Tracking based on Ultrasound Imaging using Deep Learning

ICRA 2022poster

Micro-scale robots introduce great prospective into many different medical applications such as targeted drug delivery, minimally invasive surgery and localized bio-metric diagnostics. This research presents a method for object detection and tracking system of a chain-like magnetic microsphere robot…

Cited by 13SourceScholar