activity
20232026
most citedIndustry 6.0: New Generation of Industry driven by Generative AI and Swarm of Heterogeneous Robots

3 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

Bridging Semantics and Kinematics: A Modular Framework for Zero-Shot Robotic Manipulation

Ali Alabbas, Dipshikha Das, Camillo Murgia +3

This paper presents a modular training-free framework for zero-shot, language-guided robotic manipulation in semi-structured environments. The architecture bridges the gap between…

cs.RO2026

See, Learn, Assist: Safe and Self-Paced Robotic Rehabilitation via Video-Based Learning from Demonstration

Ali Alabbas, Camillo Murgia, Joanne Regan +1

In this paper, we propose a novel framework that allows therapists to teach robot-assisted rehabilitation exercises remotely via RGB-D video. Our system encodes demonstrations as 6…

cs.HC2024

Musinger: Communication of Music over a Distance with Wearable Haptic Display and Touch Sensitive Surface

Miguel Altamirano Cabrera, Muhammad Haris Khan, Ali Alabbas +3

This study explores the integration of auditory and tactile experiences in musical haptics, focusing on enhancing sensory dimensions of music through touch. Addressing the gap in t…

cs.RO2024★ 3 cited

Industry 6.0: New Generation of Industry driven by Generative AI and Swarm of Heterogeneous Robots

Artem Lykov, Miguel Altamirano Cabrera, Mikhail Konenkov +8

This paper presents the concept of Industry 6.0, introducing the world's first fully automated production system that autonomously handles the entire product design and manufacturi…

cs.RO2024★ 1 cited

Bi-VLA: Vision-Language-Action Model-Based System for Bimanual Robotic Dexterous Manipulations

Koffivi Fidèle Gbagbe, Miguel Altamirano Cabrera, Ali Alabbas +3

This research introduces the Bi-VLA (Vision-Language-Action) model, a novel system designed for bimanual robotic dexterous manipulation that seamlessly integrates vision for scene…

cs.RO2024

MoveTouch: Robotic Motion Capturing System with Wearable Tactile Display to Achieve Safe HRI

Ali Alabbas, Miguel Altamirano Cabrera, Mohamed Sayed +3

The collaborative robot market is flourishing as there is a trend towards simplification, modularity, and increased flexibility on the production line. But when humans and robots a…

cs.RO2023★ 1 cited

ArUcoGlide: a Novel Wearable Robot for Position Tracking and Haptic Feedback to Increase Safety During Human-Robot Interaction

Ali Alabbas, Miguel Altamirano Cabrera, Oussama Alyounes +1

The current capabilities of robotic systems make human collaboration necessary to accomplish complex tasks effectively. In this work, we are introducing a framework to ensure safet…