Aly Magassouba

Aly Magassouba

Assistant Professor in Robotics and AI

School of Computer Science, University of Nottingham, UK

I'm an Assistant Professor in the School of Computer Science at the University of Nottingham and a member of the Cyber-physical Health and Assistive Robotics Technologies (CHART) group. My research centres on assistive robots, giving robots the ability to interpret and act in the real world so they can work flexibly alongside people.

News

Research

Learning to assist with AI and robots in the real world.

Communicating with humansBridging communication gaps with common-sense, personalisation and training support. Perceiving and understanding the worldSolving the ambiguities of the world with multimodal perception. Physically interacting with the worldInteracting safely with complex objects in complex environments.

Selected publications

  1. 2026
    PhyPush: One Push is All You Need for Sensorless Physical Property Estimation with Physics-Guided Transformers
    Koyo Fujii, Luis Figueredo, Praminda Caleb-Solly, Ivan Boschi, Edoardo Ida', Marco Carricato, and Aly Magassouba
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026. arXiv
  2. 2026
    ManeuverNet: A Soft Actor-Critic Framework for Precise Maneuvering of Double-Ackermann-Steering Robots with Optimized Reward Functions
    Kohio Deflesselle, Mélodie Daniel, Aly Magassouba, Miguel Aranda, and Olivier Ly
    IEEE International Conference on Robotics and Automation (ICRA), 2026. arXiv
  3. 2024
    Multi Actor-Critic DDPG for Robot Action Space Decomposition: A Framework to Control Large 3D Deformation of Soft Linear Objects
    Mélodie Daniel, Aly Magassouba, Miguel Aranda, Laurent Lequièvre, Juan Antonio Corrales Ramón, Roberto Iglesias Rodriguez, and Youcef Mezouar
    IEEE Robotics and Automation Letters 9(2), 1318–1325, 2024. DOI
  4. 2021
    CrossMap Transformer: A Crossmodal Masked Path Transformer Using Double Back-Translation for Vision-and-Language Navigation
    Aly Magassouba, Komei Sugiura, and Hisashi Kawai
    IEEE Robotics and Automation Letters 6(4), 6258–6265, 2021. DOI
  5. 2018
    A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks From Ambiguous Language Instructions
    Aly Magassouba, Komei Sugiura, and Hisashi Kawai
    IEEE Robotics and Automation Letters 3(4), 3113–3120, 2018. Presented at IROS 2018; RoboCup Best Paper Award DOI
  6. 2018
    Aural Servo: Sensor-Based Control From Robot Audition
    Aly Magassouba, Nancy Bertin, and François Chaumette
    IEEE Transactions on Robotics 34(3), 572–585, 2018. DOI

All publications

Projects and leadership

Positions

Education

Awards