Nada Salman

PhD in robotics, Université Paris-Saclay · Île-de-France

Nada Salman
nada.s.salman@outlook.com Île-de-France Available for robotics engineering roles in Île-de-France

I design, build and control wearable robots: from SolidWorks and STM32 firmware to ROS 2 architectures, EMG-driven assistance and experiments with people.

I trained as a mechatronics engineer at the University of Lattakia, then specialised in medical robotics at the University of Strasbourg, where my master's project at ICube developed adaptive EMG-based control for a haptic rehabilitation interface.

My PhD at LISV, Université Paris-Saclay (2022–2026), designed, built and controlled an active upper-limb exoskeleton for elbow assistance and gravity compensation: mechanical design, motor and sensor integration, a distributed ROS 2 architecture, adaptive impedance and admittance control, and trials with participants. Alongside it I taught more than 200 hours at ESILV and UVSQ.

See projects View CV

Publications

Selected publications.

All publications
  1. ICARA2026
    ICARAConference

    Real-Time Neuro-Motor Index Modulation for Adaptive Admittance Control in Upper-Limb Exoskeletons

    Nada SALMAN, Jinane Charafeddine, Swaminath Venkateswaran, Abderraouf Benali

    2026 7th International Conference on Automation, Robotics and Applications (ICARA) · 2026

    DOI
    Abstract

    This paper presents a real-time method for neuro-motor index modulation to enable adaptive admittance control in upper-limb exoskeletons, using surface EMG signals to continuously adapt assistance levels during motor tasks.

    BibTeX
    @inproceedings{salman2026neuro,
  abbr        = {ICARA},
  bibtex_show = {true},
  title       = {Real-Time Neuro-Motor Index Modulation for Adaptive Admittance Control in Upper-Limb Exoskeletons},
  author      = {SALMAN, Nada and Charafeddine, Jinane and Venkateswaran, Swaminath and Benali, Abderraouf},
  booktitle   = {2026 7th International Conference on Automation, Robotics and Applications (ICARA)},
  year        = {2026},
  publisher   = {IEEE},
  doi         = {10.1109/ICARA69401.2026.11480345},
  html        = {https://doi.org/10.1109/ICARA69401.2026.11480345},
  selected    = {true},
  abstract    = {This paper presents a real-time method for neuro-motor index modulation to enable adaptive admittance control in upper-limb exoskeletons, using surface EMG signals to continuously adapt assistance levels during motor tasks.}
}
  2. RO-MAN2024
    RO-MANConference

    Adaptive Weight Compensation in Assistive Upper-Limb Exoskeletons: an EMG Analysis

    Nada SALMAN, Abderraouf Benali

    2024 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) · 2024

    DOI
    Abstract

    We analyse surface EMG signals to drive adaptive weight compensation in an assistive upper-limb exoskeleton, demonstrating automatic assistance adaptation during flexion-extension movements with load.

    BibTeX
    @inproceedings{salman2024adaptive,
  abbr        = {RO-MAN},
  bibtex_show = {true},
  title       = {Adaptive Weight Compensation in Assistive Upper-Limb Exoskeletons: an EMG Analysis},
  author      = {SALMAN, Nada and Benali, Abderraouf},
  booktitle   = {2024 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)},
  year        = {2024},
  publisher   = {IEEE},
  doi         = {10.1109/RO-MAN60168.2024.10731414},
  html        = {https://doi.org/10.1109/RO-MAN60168.2024.10731414},
  selected    = {true},
  abstract    = {We analyse surface EMG signals to drive adaptive weight compensation in an assistive upper-limb exoskeleton, demonstrating automatic assistance adaptation during flexion-extension movements with load.}
}

Selected work

Selected projects.

All projects
ExoskeletonsActive Upper-Limb ExoskeletonDesign, mechatronic integration and control of an active elbow exoskeleton for motion assistance and gravity compensation.read moreRobotics softwareROS2 Distributed Architecture for ExoskeletonDesign and implementation of a modular, distributed ROS2 software stack connecting motor control, sensors and assistance algorithms.read moreEMG & signal processingReal-Time Load Estimation from EMGOnline load estimation using surface EMG to automatically adapt exoskeleton assistance — fuzzy-logic approach with per-user calibration.read moreMechanical designExoskeleton Mechanical Design (Multi-Generation)Iterative mechanical redesign of the upper-limb exoskeleton — kinematic compatibility, adjustability, passive DOFs at shoulder and wrist.read more