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

4 Vacancies PhD students Game & Media Technology, Utrecht

http://www.cs.uu.nl/vacatures/en/62704.html

       4 Vacancies PhD students Game & Media Technology

The department of Information and Computing Sciences of Utrecht University
is looking for 4 PhD-students for the project "GATE" (Game Research for Training
and Entertainment).

At the Department of Information and Computing Sciences of Utrecht University
there are four openings for PhD students for 4 years within the Game Research
for Training and Entertainment (GATE) project.
	
Position 1: Automatic world generation based on real data
Building virtual worlds from real data such as panorama images is still a very
labor intensive work, error prone, slow, and expensive. Therefore, the results
is often small-scale, of low resolution, and not accurate. Our objectives are to
research new algorithms to build virtual worlds automatically and from multiple
data sources in order to alleviate these problems. From the various data sources
we will identify salient points and landmark objects. Then we will find a
correspondence between them, derive the transformation to put the data in a
common coordinate frame, merge the data, and construct the final virtual world.
The envisioned results are methods that build virtual worlds fast and
accurately. In this way, the quality of training people, mission planning,
contingency planning, and decision making can be improved.
This research is performed in collaboration with TNO Defence, Security and Safety.

Position 2: Modeling planning behavior
Computer games are inhabited by virtual characters. Such characters move around
in the virtual world to perform certain actions. So an important task of virtual
characters is to plan their paths to a required destination. Such a path must be
natural. A natural path can be defined as a path that would be taken in the real
world, or that is at least convincing to a viewer. A natural path will depend on
the environment, the task of the character, its knowledge of the world, the
presence and motion of other entities, and possibly its emotional state. The
goal of this project is to develop path planning algorithms that lead to natural
paths, while they put only a small load on the processor. To this end we will
employ our motion capture system to record natural motion and combine this with
algorithmic planning techniques.

Position 3: Navigation and manipulation
One of the research objectives within GATE addresses navigation and manipulation
tasks within virtual environments. Usually the interface with the virtual
environment is established by controlling an avatar represented by an animated
virtual character. It is not an easy task to find an animation model that is
capable of handling both manipulation and navigation tasks and that can
dynamically switch between them. An example of such behaviour is to pick up an
object from a table while waking past it, or walking toward a door and opening
it, without an unnatural transition between walking (navigation) and
manipulating the object. The goal of the intended research is to address such
types of problems, by using motion capture and motion synthesis techniques,
ultimately resulting in natural animation behaviour in real-time.

Position 4: Detecting, interpreting and affecting user behavior
In many applications, computer vision based analysis motion, gestures, and
facial expressions of groups of people is desired. Current techniques are still
limited to a single person, and to fixed position in from of a camera. The
ability to robustly track persons in room opens many new applications. The
objectives of this project are to develop fast and robust algorithms that can
detect, track, and model accurately and robustly individual persons in the real
3D world. We also want to recognize gestures and motion of individuals, to
identify the interaction between persons such as looking or gesturing at each
other, and to design interaction between humans and computer systems. For all
these techniques we will first choose application domains, in order to identify
the needs, and to evaluate the methods against the requirements.
This research is performed in collaboration with Technical University Delft.

GATE
The GATE (Game Research for Training and Entertainment) project aims to set
up the leading edge research center in Europe (and world-wide) that advances the
state-of-the-art in gaming and simulation with strong ties to production
companies and users of gaming and simulation. The goal of the center is to
create technology for highly effective entertainment, learning and training
experiences.

We ask
MSc degree in Computer Science, Mathematics, or any other relevant discipline.
Knowledge and experience in programming (C++), algorithms and data structures,
pattern recognition, computer vision.

More information about salary and how to apply can be found at
http://www.cs.uu.nl/vacatures/en/62704.html
Closing date: February 28, 2007