Oussama Alyounes

ORCID: 0009-0009-0969-791X
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About
Contact & Profiles
Research Areas
  • Gaze Tracking and Assistive Technology
  • Teleoperation and Haptic Systems
  • Robot Manipulation and Learning
  • Human-Automation Interaction and Safety
  • Hand Gesture Recognition Systems
  • Stroke Rehabilitation and Recovery
  • EEG and Brain-Computer Interfaces
  • AI-based Problem Solving and Planning
  • Tactile and Sensory Interactions
  • Robotics and Automated Systems
  • IoT-based Smart Home Systems
  • Prosthetics and Rehabilitation Robotics

Skolkovo Institute of Science and Technology
2023-2024

The current capabilities of robotic systems make human collaboration necessary to accomplish complex tasks effectively. In this work, we are introducing a framework ensure safety in human-robot collaborative environment. system is composed wearable 2-DoFs robot, low-cost and easy-to-install tracking system, collision avoidance algorithm based on the Artificial Potential Field (APF). robot designed hold fiducial marker maintain its visibility which, turn, localizes user's hand with good...

10.1109/etfa54631.2023.10275727 article EN 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) 2023-09-12

The automation of the car charging process is motivated by rapid development technologies for self-driving cars and increasing importance ecological transportation units. Automation this requires implementation Computer Vision (CV) techniques. However, it remains challenging to precisely position charger plug autonomously due sensitivity CV algorithms lighting weather conditions. We introduce a novel robotic operation system based on hand gesture recognition through teleconferencing...

10.1145/3659060 article EN other-oa ACM Transactions on Human-Robot Interaction 2024-04-27

This paper introduces CognitiveOS, a disruptive system based on multiple transformer-based models, endowing robots of various types with cognitive abilities not only for communication humans but also task resolution through physical interaction the environment. The operates smoothly different robotic platforms without extra tuning. It autonomously makes decisions execution by analyzing environment and using information from its long-term memory. underwent testing platforms, including...

10.48550/arxiv.2401.16205 preprint EN arXiv (Cornell University) 2024-01-29

The collaborative robot market is flourishing as there a trend towards simplification, modularity, and increased flexibility on the production line. But when humans robots are collaborating in shared environment, safety of should be priority. We introduce novel wearable robotic system to enhance during Human Robot Interaction (HRI). proposed designed hold fiducial marker maintain its visibility tracking system, which, turn, localizes user's hand with good accuracy low latency provides haptic...

10.48550/arxiv.2405.04899 preprint EN arXiv (Cornell University) 2024-05-08

The current capabilities of robotic systems make human collaboration necessary to accomplish complex tasks effectively. In this work, we are introducing a framework ensure safety in human-robot collaborative environment. system is composed wearable 2-DOF robot, low-cost and easy-to-install tracking system, collision avoidance algorithm based on the Artificial Potential Field (APF). robot designed hold fiducial marker maintain its visibility which, turn, localizes user's hand with good...

10.48550/arxiv.2307.08363 preprint EN cc-by-nc-nd arXiv (Cornell University) 2023-01-01

The growing demand for electric vehicles requires the development of automated car charging methods. At moment, process an is completely manual, and that physical effort to accomplish task, which not suitable people with disabilities. Typically, in research focused on detecting position orientation socket, resulted a relatively high accuracy, $\pm 5 \: mm $ 10^o$. However, this accuracy enough complete process. In work, we focus designing novel methodology robust robotic plug-in plug-out...

10.48550/arxiv.2310.12044 preprint EN cc-by-nc-nd arXiv (Cornell University) 2023-01-01

The growing demand for electric vehicles requires the development of automated car charging methods. At moment, process an is completely manual, and that physical effort to accomplish task, which not suitable people with disabilities. Typically, in automation task research focused on detecting position orientation socket, resulted a relatively high accuracy, ±5 mm, ±10 degrees. However, this accuracy enough complete process. In work, we focus designing novel methodology robust robotic...

10.1109/robio58561.2023.10354702 article EN 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2023-12-04

The growing demand for electric vehicles requires the development of automated car charging methods. At moment, process an is completely manual, and that physical effort to accomplish task, which not suitable people with disabilities. Typically, in research focused on detecting position orientation socket, resulted a relatively high accuracy, <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\pm 5\ mm$</tex> 10^{\circ}$</tex> . However, this...

10.1109/icar58858.2023.10406657 article EN 2023-12-05
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