Funded PhD Opportunity Situation reasoning and task planning in human-robot systems to support independent living

This opportunity is now closed.

Subject: Computer Science and Informatics

Summary

Caring for an ageing population is one of the biggest challenges in many developed and developing countries, and the dramatically increasing elderly population challenges have changed the traditional caregiver-centered care model. Advances in sensors, robotics, pervasive computing and mobile technology have provided a new care model to improve independent living and the quality of life in home smart environments. Recent years, service robots have been introduced to provide independence and support to vulnerable individuals living in their own homes.

This project aims to investigate how artificial intelligence (AI) and machine learning can improve the communication in human-robot autonomous systems with focus on situation reasoning, task planning, and behaviour pattern recognition. Algorithms will be developed to address the challenges in service robots, for example, detecting ambiguities in situations and providing appropriate response.

Specific objectives of the project are:

1)To investigate mobile robotic technologies that support independent living;

2)To develop algorithms for situation reasoning and task planning;

3)To apply and develop machine learning algorithms to identify human behaviour patterns; and

4)To improve human-robot interaction

Drawing on knowledge from other domains, the student will develop radical innovations which show promise for integration into future or existing home support systems. They will explore state-of-the-art artificial intelligence algorithms and robotic techniques. The project will be carried out in the Pervasive Computing Research Group. It is envisaged that external clinical and industrial collaborations will support the development of this project. Strategic fit with current research.

This proposal aligns with the research theme of Healthy Community in the Pervasive Computing Research Group and will be integral to the H2020 RISE project Sensecare with opportunity to travel and work alongside project partners.

Anticipated research outcomes

1)Algorithms situation reasoning, task planning and behaviour pattern detection

2)Prototype system of service robot to demo the feasibility study

3)Publication of conference and journal papers

References

Forlizzi, J. and DiSalvo, C., 2006, March. Service robots in the domestic environment: a study of the roomba vacuum in the home. In Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction (pp. 258-265). ACM.

Lemaignan, S., Warnier, M., Sisbot, E.A., Clodic, A. and Alami, R., 2017. Artificial cognition for social human–robot interaction: An implementation. Artificial Intelligence, 247, pp.45-69.

Fischinger, D., Einramhof, P., Papoutsakis, K., Wohlkinger, W., Mayer, P., Panek, P., Hofmann, S., Koertner, T., Weiss, A., Argyros, A. and Vincze, M., 2016. Hobbit, a care robot supporting independent living at home: First prototype and lessons learned. Robotics and Autonomous Systems, 75, pp.60-78.

Essential Criteria

  • Upper Second Class Honours (2:1) Degree from a UK institution (or overseas award deemed equivalent via UK NARIC)

Desirable Criteria

If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

  • First Class Honours (1st) Degree
  • Masters at 70%

Funding

    Vice Chancellors Research Scholarships (VCRS)

    The scholarships will cover tuition fees and a maintenance award of £14,777 per annum for three years (subject to satisfactory academic performance). Applications are invited from UK, European Union and overseas students.

    Department for the Economy (DfE)

    The scholarships will cover tuition fees at the home rate and, for applicants with UK residence only, a maintenance allowance of £14,777 per annum for three years. EU residents may also apply but, if successful, will receive fees only.

Other information

The Doctoral College at Ulster University

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Key Dates

Submission Deadline
Monday 19 February 2018
Interview Date
9 to 23 March 2018

Contact Supervisor

Professor Huiru (Jane) Zheng

Other Supervisors

Apply online

Visit https://www.ulster.ac.uk/applyonline and quote reference number #237802 when applying for this PhD opportunity