Some of the work reported below is illustrated in video demonstrations using the
SimAgent toolkit here:
To run the program untar the file, to create a directory newminder1, then read the file GO.p into the poplog editor Ved. Compile the file with the command
ENTER l1Then run the command that is printed out in the editor buffer.
After completing his PhD here, Ian worked for Sony for a while, then went to California where he works for a games company, AiLive Inc. He now (in 2015) lives in Oxford while still working for the Californian company.
In his "spare time" he completed a second PhD, in Economics, at the Open University, and is now an authority on political economy.
http://sites.google.com/site/ianwrightphd/Home/political-economy Cottrell, Cockshott, Michaelson, Wright, Yakovenko. http://sites.google.com/site/ianwrightphd/Home/political-economy Classical Econophysics, essays in thermodynamics, information theory and political economy. Routledge Advances in Experimental and Computable Economics. Routledge. 2009 ========================= See also Anupam Chakravorty, Rob Kay, Stuart Reynolds, Ian Wright In Gamasutra, July 27, 2010 Taking Games Beyond Whack and Tilt
After leaving Birmingham, Chris joined a finance company (JP Morgan) and at one stage was elected "Fund Manager of the Year".
AbstractNote added 1 Sep 2015
Program code is also available. Instructions for running the code are in the thesis.
Every day environments contain a great variety of deformable objects and it is not possible to program a robot in advance to know about their characteristic behaviours. For this reason, robots have been highly successful in manoeuvring deformable objects mainly in the industrial sector, where the types of interactions are predictable and highly restricted, but research in everyday environments remains largely unexplored. The contributions of this thesis are: i) the application of an elastic/plastic mass-spring method to model and predict the behaviour of deformable objects manipulated by a robot; ii) the automatic calibration of the parameters of the model, using images of real objects as ground truth; iii) the use of piece-wise regression curves to predict the reaction forces, and iv) the use of the output of this force prediction model as input for the mass-spring model which in turn predicts object deformations; v) the use of the obtained models to solve a material classification problem, where the robot must recognise a material based on interaction with it.
PhD Students can no longer apply to work on this project.
Aaron Sloman no longer accepts PhD students. Although formally retired, he is now working on a much broader project, which subsumes all the themes of the Cognition and Affect project, namely the Turing-inspired Meta-Morphogenesis project:
There are no funds associated with this project.
Last Updated: 7 Jul 2014; 13 Aug 2015; 1 Sep 2015
This file is maintained by Aaron Sloman: