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Details of Grant 

EPSRC Reference: EP/X017486/1
Title: Homeostatic machines for Resilience and Adaptability
Principal Investigator: Damian, Dr D
Other Investigators:
Miyashita, Dr S Campbell, Dr KLS
Researcher Co-Investigators:
Project Partners:
Sheffield Hallam University University of Southern California
Department: Automatic Control and Systems Eng
Organisation: University of Sheffield
Scheme: Standard Research - NR1
Starts: 01 November 2022 Ends: 30 April 2024 Value (£): 202,128
EPSRC Research Topic Classifications:
Robotics & Autonomy
EPSRC Industrial Sector Classifications:
Electronics
Related Grants:
Panel History:
Panel DatePanel NameOutcome
21 Jun 2022 New Horizons 2021 Full Proposal Panel Announced
23 Jun 2022 New Horizons Electronic and Electical Engineering Panel June 2022 Announced
Summary on Grant Application Form
Nature offers a mechanism, called homeostasis, by which life forms can maintain their physical integrity and well being. On the other hand, series of machines, including robots, cannot overcome some of the most insignificant damage, such as a cut in a functional component. The aim of this project is to develop a fundamental physical homeostatic framework in order to endow machines with the ability to sustain themselves at high entropic states such as hazards and unpredictable conditions - that is, to autonomously prevent faults and restore internal parameters balance, and thus allow the machine's continuing operation. The project will provide the first fundamental building blocks of physical homeostasis toward machines with a new level of artificial intelligence (emotional AI) to enhance their resilience, adaptability and decision making in most uncertain tasks, and show empathic behavior in societal settings. The project will provides transformative tools for the science and engineering of intelligent systems: Responsible innovation, Emotional artificial intelligence, Trusted and emphatic technologies.
Key Findings
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Potential use in non-academic contexts
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Summary
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Further Information:  
Organisation Website: http://www.shef.ac.uk