The Cycle

The application of Bayesian framework for the development of robotic systems that can act autonomously in complex tasks or in real world environments will be described. The developments are focused on multimodal and multisensing integration using computational/statistical models supported by observations of biological systems and experimental evidences obtained by psychophysical methods/studies. The research results provide an indicator about the interdisciplinary of the Bayesian approach, which is supported by a common mathematical framework that facilitates integration of the two domains: computer science/ robotics and knowledge from life sciences. Jorge Dias – University of Coimbra jorge@isr.uc.pt Outline • Uncertainty / Robots Autonomous • Statistical Modeling • Case Study Multimodal Sensing & Fusion • Generalization • Future Extensions • Conclusions • References Jorge Dias – University of Coimbra jorge@isr.uc.pt 2. Uncertainty/ Robots / Autonomy Jorge Dias – University of Coimbra jorge@isr.uc.pt Jorge Dias – University of Coimbra jorge@isr.uc.pt (in “Modern Times”) Robotics... (in “Wall-E”)