Al-Rifaie on BBC

AISB Committee member and Research Fellow at Goldsmiths, University of London, Dr Mohammad Majid al-Rifaie was interviewed by the BBC (in Farsi) along with his colleague Mohammad Ali Javaheri Javid on the 6 November 2014. He was a...


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Rose wins the Loebne...

After 2 hours of judging at Bletchley Park, 'Rose' by Bruce Wilcox was declared the winner of the Loebner Prize 2014, held in conjunction with the AISB.  The event was well attended, film live by Sky News and the special guest jud...


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AISB Convention 2015

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Convention will be held at the Uni...


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Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


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Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


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AISB YouTube Channel

The AISB has launched a YouTube channel: http://www.youtube.com/user/AISBTube (http://www.youtube.com/user/AISBTube). The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


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Notice

AISB opportunities Bulletin Item

PhD Scholarship in Semantic Internet of Things (IoT) for Pervasive Environment Assisted Robotics Intelligence Control

http://www2.hull.ac.uk/student/admissions/postgraduate/howtoapply/researchmastersphd.aspx

PhD Scholarship in Semantic Internet of Things (IoT) for Pervasive Environment Assisted Robotics 
Intelligence Control
 
Principal supervisors: Dr Yongqiang Cheng and Professor Ping Jiang
 
The number of devices connected to the Internet is predicted to be 25 billion by 2015 and double 
this figure by 2020. The addressing, discovery of devices and information representation and 
sharing technologies are the fundamental requirements to support interoperability among the 
devices. The ontologies, semantic annotation etc. developed in Semantic Web have provided a 
promising solution for the IoT interconnections.
 
The pervasive environment assisted robotics intelligence control achieved via distributed sensing 
and processing has demonstrated advantages in terms of well posed information observation, 
simplified task planning, less on-board intelligence requirement and scalable computing resource 
in environment supporting ageing society for improved mobility and manipulability in their living 
environment.
 
A hierarchical architecture is often used to coordinate activities for autonomous control where 
three main functions SENSE, PLAN and ACT need to be designed and implemented accordingly. For 
example, to achieve an autonomous system helping elderly people on a wheelchair approaching and 
fetching an object, the traditional way is to carry out the functions by on-board controllers. 
This research will investigate proactive contribution of the object to the task by speaking a 
language understandable by the environment and mobile robot. Semantic communications will play a 
key role in the overall feedback control for SENSE, PLAN and ACT.
 
Being equipped with knowledge acquisition and understanding semantics and ontologies, only a 
minimum level prior knowledge is required by the robot. The environment will adapt to new objects 
and Things by asking and learning.
 
The project will investigate the contribution of Semantic IoT techniques to the overall pervasive 
intelligence control and identify the areas which can be conducted using semantics. Specifically, 
the following approaches will be envisaged:
 
1) Profiling. This includes the profiling of objects, tasks and behaviours.
 
2) Information fusion. Information exchange protocols between human, environment and robots.
 
3) Robotics control methodologies. Machine learning, context-aware intelligent control, robot 
behaviour network.
 
The studentship will start in September 2014. This full-time PhD Scholarship will include fees 
at the UK/EU' student rate and maintenance (13,8636 in 2014/15) for three years, depending on 
satisfactory progress. For full information on the PhD project, see here.
 
For details of how to apply please, visit:
 
http://www2.hull.ac.uk/student/admissions/postgraduate/howtoapply/researchmastersphd.aspx
 
Closing date for applications is 2nd June 2014.