ALY MAGASSOUBA

About Me

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. A multidisciplinary background across robotics, control and machine learning draws me to this problem, along with its potential in manufacturing, surgery and healthcare. 

Selected Publications

• Mélodie Daniel, Aly Magassouba, Miguel Aranda, Laurent Lequièvre, Juan Antonio Corrales Ramón, Roberto Iglesias Rodriguez, and Youcef Mezouar. Multi actor-critic DDPG for robot action space decomposition: A framework to control large 3D deformation of soft linear objects. IEEE Robotics and Automation Letters, volume 9, pages 1318–1325. IEEE, 2024.

• Aly Magassouba, Komei Sugiura, and Hisashi Kawai. Crossmap transformer: A crossmodal masked path transformer using double back-translation for vision-and-language navigation. IEEE Robotics and Automation Letters, volume 6, pages 6258–6265. IEEE, 2021.

• Aly Magassouba, Komei Sugiura, and Hisashi Kawai. A multimodal classifier generative adversarial network for carry and place tasks from ambiguous language instructions. IEEE Robotics and Automation Letters, volume 3, pages 3113–3120. IEEE, 2018.

• Aly Magassouba, Nancy Bertin, and François Chaumette. Aural servo: sensor-based control from robot audition. IEEE Transactions on Robotics, volume 34, pages 572–585. IEEE, 2018.

Notable achievements

🏆 RCareWorld Challenge ICRA 2024:  First place in the assistive-bathing task

🏆 IEEE/RSJ IROS 2018 RoboCup Best Paper Award

🏆 1st Place World Robot Summit 2018, Partner Robot Challenge/Virtual Space

🏆 2018 Artificial Intelligence Society Award

🏆2018 Japanese Society for Artificial Intelligence Annual Conference Award