University of Birmingham > Talks@bham > Artificial Intelligence and Natural Computation seminars > Multi-Sensing Artificial Perception -- A Probabilistic Approach supported by Robotic Technologies

Multi-Sensing Artificial Perception -- A Probabilistic Approach supported by Robotic Technologies

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Per Kristian Lehre.

In this seminar it will be presented some results on the application of Bayesian models and approaches in order to develop artificial cognitive systems that can carry out complex tasks in real world environments. These studies try to address the question how information derived from these different sensory modalities converges in order to form a coherent and robust perception is central to develop processes of artificial perception. These applications take inspiration from the brains of mammals including humans and apply our findings to the developments of robotic systems. Contemporary robots and other cognitive artifacts are not yet ready to autonomously operate in complex real world environments and one of the major reasons for this failure in creating cognitive situated systems is the difficulty in the handling of incomplete knowledge and uncertainty. The development of these artificial perception systems focused on multimodal and multi-sensing integration using computational/ statistical models supported by observations of biological systems and experimental evidences obtained by psycho-physical methods/studies.

This talk is part of the Artificial Intelligence and Natural Computation seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


Talks@bham, University of Birmingham. Contact Us | Help and Documentation | Privacy and Publicity.
talks@bham is based on from the University of Cambridge.