News Story

No corrections required for Agnese’s PhD Thesis!

KMi Reporter, Friday 9 Dec 2022

Congratulations to Dr. Agnese Chiatti, who brilliantly defended her PhD Thesis, entitled "Visually Intelligent Agents – Improving Sensemaking in Service Robotics”.

Agnese’s thesis, carried out under the supervision of Prof Enrico Motta and Dr Enrico Daga, tackled the problem of service robots operating in the real world, which need to interpret correctly the environment around them. In particular, Agnese’s approach focuses on the sense of vision, developing new Artificial Intelligence (AI) technologies that significantly improve a robot’s ability to use its vision sensors to make sense of the world. These new AI technologies are integrated in an architecture called RAVI, which stands for “Robot Architecture for Visual Intelligence”. RAVI augments a Deep Learning module with knowledge-based components, which realise common sense reasoning capabilities, including size and spatial reasoning. The architecture was evaluated in the context of deploying a robot able to identify Health and Safety risks in an office environment, demonstrating a significant advance over the state of the art.

The Examination Panel comprised Prof. Alan Winfield (UWE Bristol – External Examiner), Prof. Stefan Rueger (KMi – Internal Examiner) and Prof. Anna De Liddo (KMi – Panel Chair).

The examiners were extremely complimentary about Agnese’s work, emphasizing the exceptional quality of the thesis.  In particular, Prof Winfield stated in his report:

“This is one of the finest PhD dissertations of the many I have read over the last 30 years. If not the finest. It is, in my view, a truly exceptional piece of work, and I will recommend the work is published as a book. The care that Agnese takes in providing both context and background for every aspect of her work is outstanding, to the extent that the thesis is a wonderful tutorial on the subject of visual sensemaking. Agnese’s experimental work is a model of best practice; from the care with which she has constructed a set of research questions, to the carefully defined experiments, and the rigour and thoroughness of both the execution and analysis of those experiments”.

Indeed, the thesis was regarded by the examiners as a work of such good quality that no corrections were deemed necessary. This is a truly exceptional and extremely rare achievement, which evidences the extraordinary quality of Agnese’s work.

Following the completion of her PhD, Agnese is continuing her research in KMi as a part-time Postdoctoral Researcher in Robotics, contributing to the Gatekeeper project.  In addition, she also holds a highly prestigious L’Oreal-Unesco Women in Science Fellowship, which is funding her work as Visiting Researcher at Milan Polythecnic.

Related Links:


Connected

GATEKEEPER

Technologies for healthier independent lives for the ageing populations

Website Icon

Latest News

KMi’s Generative AI mini-Scotland Tour

AI for the Research Ecosystem workshop #AI4RE

KMi congratulates Dr. Joseph Kwarteng for successfully defending his doctoral thesis

New grant from the Open Societal Challenges programme to support research into innovative AI methods for assessing equity, balance, and inclusivity in the media landscape

Alexander Mikroyannidis gives invited talk at UNESCO event

Sections

RSS iconKnowledge Media institute News RDF

View by

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team