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

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• Dr Jorge Miranda Dias, Institute Systems & Robotics, University of Coimbra, Portugal
• Monday 22 March 2010, 16:00-17:00
• UG40, School of Computer Science.

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.

This talk is included in these lists:

• Artificial Intelligence and Natural Computation seminars
• Computer Science Departmental Series
• Computer Science Distinguished Seminars
• UG40, School of Computer Science
• computer sience

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