Imperial College London

Dr Ali Shafti

Faculty of EngineeringDepartment of Computing

Research Fellow in Human In-The-Loop Robotics & AI



a.shafti Website




RSM 4.28Royal School of MinesSouth Kensington Campus





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Dr. Shafti is a Research Fellow in the Brain and Behaviour Lab at the department of Computing and Bioengineering, Imperial College London.

He has a PhD in Robotics from King's College London with thesis titled: "Electromyography-guided and Robot-assisted Ergonomics", where he focused on obtaining an objective understanding of human behaviour with respect to their personal experience of physical comfort and ergonomics, as well as the creation of novel human-robot interaction protocols based on this understanding. The research also involved the design and creation of novel textile-based muscle activity monitoring wearable garments which serve as the tool in implementing the above.

During his PhD, he served as lead research assistant and manager of all research and administrative activities within the EU H2020 Project FourByThree, at King's College London. He also served as PhD researcher on the EU FP7 STIFF-FLOP project. His research has led to more then 10 peer-reviewed papers in high impact factor journals and international premium conference proceedings within robotics and biomedical engineering. In parallel to his studies, he has acted as advisor/co-supervisor for six successful MSc projects, researching wearable biomedical sensors, soft sensors for soft robotics applications and human factors in human-robot interaction

He is now continuing his research into human-centred and behaviour-driven robotics in the EU H2020 Project eNHANCE, while managing relevant research activities within the Brain and Behaviour Lab at Imperial College London.



Shafti SA, Haar Millo S, Mio Zaldivar R, et al., 2021, Playing the piano with a robotic third thumb: Assessing constraints of human augmentation, Scientific Reports, Vol:11, ISSN:2045-2322, Pages:1-14

Stout D, Chaminade T, Apel J, et al., 2021, The measurement, evolution, and neural representation of action grammars of human behavior, Scientific Reports, Vol:11, ISSN:2045-2322, Pages:1-13


Shafti SA, Tjomsland J, Dudley W, et al., 2021, Real-world human-robot collaborative reinforcement learning, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Pages:11161-11166, ISSN:2153-0866

Shafti SA, Faisal A, Non-invasive cognitive-level human interfacing for the roboticrestoration of reaching & grasping, 10th International IEEE EMBS Conference on Neural Engineering (NER 21), IEEE

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