Abstract
The aim of blended cognition is to contribute to the design of more realistic and efficient robots by looking at the way humans can combine several kinds of affective, cognitive, sensorimotor and perceptual representations. This chapter is about vision-for-action. In humans and non-human primates (as well as in most of mammals), motor behavior in general and visuomotor representations for grasping in particular are influenced by emotions and affective perception of the salient properties of the environment. This aspect of motor interaction is not examined in depth in the biologically plausible robot models of grasping that are currently available. The aim of this chapter is to propose a model that can help us to make neurorobotics solutions more embodied, by integrating empirical evidence from affective neuroscience with neural evidence from vision and motor neuroscience. Our integration constitutes an attempt to make a neurorobotic model of vision and grasping more compatible with the insights proposed by the embodied view of cognition and perception followed in neuroscience, which seems to be the only one able to take into account the biological complexity of cognitive systems and, accordingly, to duly explain the high flexibility and adaptability of cognitive systems with respect to the environment they inhabit.
“What I cannot build,
I cannot understand”.
Richard Feynman
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Notes
- 1.
Precisely, the dorso-dorsal stream (D-D), also known as the dorso-medial circuit, projects to the dorsal premotor cortex and, following the division of the intraparietal sulcus that subdivides the posterior parietal lobe, is related to the superior parietal lobule (SPL); the ventro-dorsal stream (V-D), also known as the dorso-lateral circuit, projects to the ventral premotor cortex and is related to the inferior parietal lobule (IPL) (see Rozzi et al. 2006; Chinellato et al. 2011; Gallese 2007; Turella and Lignau 2014; Rizzolatti and Matelli 2003; Jeannerod and Jacob 2005; Kravitz et al. 2011; Binkofski and Buxbaum 2013; Hoeren et al. 2013; see also Glover 2004).
- 2.
- 3.
All this is in line with the idea that the OFC is crucial in changing behavior in the face of unexpected outcomes (Schoenbaum et al. 2009).
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Ferretti, G., Chinellato, E. (2019). Can Our Robots Rely on an Emotionally Charged Vision-for-Action? An Embodied Model for Neurorobotics. In: Vallverdú, J., Müller, V. (eds) Blended Cognition. Springer Series in Cognitive and Neural Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-03104-6_5
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