Professor
Yiannis DemirisProfile page
Professor of Human-Centred Robotics, Head of ISN
Department of Electrical and Electronic Engineering - Faculty of Engineering
Orcid identifier0000-0003-4917-3343
- Professor of Human-Centred Robotics, Head of ISNDepartment of Electrical and Electronic Engineering - Faculty of Engineering
- 020 7594 6300 (Work)
- 1011, Electrical Engineering, South Kensington Campus, United Kingdom
RESEARCH
Professor Demiris is interested in fundamental algorithms underlying Personal Assistive Robotics, i.e. robots that can assist humans in diverse, challenging tasks. These algorithms include
(a) how human states, external (including eye gaze, posture, and behaviour) or inferred internal ones (e.g. cognitive load, trust, stress), can be derived from multimodal sensors (including vision, audition, tactile/force sensing, and wearable).
(b) how human sensorimotor and cognitive skills (and their evolution) can be represented and learned from observation and interaction
(c) how motor control algorithms can decide on an optimal assistance policy, incorporating user intentions, in what is frequently termed as shared or collaborative control.
A strong focus of his laboratory research is on algorithms that perform well in 3R conditions: Real tasks, Real robots, Real humans; while theoretical approaches are in the core of the research, we are not interested in algorithms that do not perform well in real situations.
For a longer list of research interests and current projects, please see:
https://www.imperial.ac.uk/personal-robotics/research
(a) how human states, external (including eye gaze, posture, and behaviour) or inferred internal ones (e.g. cognitive load, trust, stress), can be derived from multimodal sensors (including vision, audition, tactile/force sensing, and wearable).
(b) how human sensorimotor and cognitive skills (and their evolution) can be represented and learned from observation and interaction
(c) how motor control algorithms can decide on an optimal assistance policy, incorporating user intentions, in what is frequently termed as shared or collaborative control.
A strong focus of his laboratory research is on algorithms that perform well in 3R conditions: Real tasks, Real robots, Real humans; while theoretical approaches are in the core of the research, we are not interested in algorithms that do not perform well in real situations.
For a longer list of research interests and current projects, please see:
https://www.imperial.ac.uk/personal-robotics/research
GRANTS
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- GRANTD-RISK: Validating the autonomous vehicle safety-case using simulation and adaptive test generationInnovate UK1 Nov 2019 - 30 Sep 2022Innovate UK: D-RISK: Validating the autonomous vehicle safety-case using simulation and adaptive test generation (2019-2022)