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Books on the topic 'Sensorisk perception'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

Schaub, Alexander. Robust Perception from Optical Sensors for Reactive Behaviors in Autonomous Robotic Vehicles. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-19087-3.

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2

C, Di Natale, D'Amico A. 1940-, and Davide F, eds. Artificial and natural perception: Proceedings of the 2nd Italian Conference on Sensors and Microsystems : Rome, Italy, 3-5 February 1997. Singapore: World Scienticic, 1997.

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3

Une histoire naturelle des sens. Paris: Ed. du Seuil, 2010.

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4

Najjārīyān, Siyāmik. Artificial tactile sensing in biomedical engineering. New York: McGraw-Hill, 2009.

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5

Najjārīyān, Siyāmik. Artificial Tactile Sensing in Biomedical Engineering. New York: McGraw-Hill, 2009.

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6

Dahiya, Ravinder S. Robotic Tactile Sensing: Technologies and System. Dordrecht: Springer Netherlands, 2013.

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7

Peckruhn, Heike. Sedimentation of Habits and Orienting Experiences. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190280925.003.0004.

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Chapter 4 pivots around experiences of race, and explores social and cultural habitation to sensory perceptions and meanings. It discusses the sensorium of race perception beyond the visual, and provides historical and cultural examples of how perceiving bodily Others emerges in and is maintained by sensory experiences. It explores how understanding our orientations and perspectives on the world as fundamentally embedded in and emerging from our bodily manner of existence allows us to begin grasping how it is not reason or intellectual reflection alone by which we can address perceptual alignments that might appear problematic to us. Habits and socio-cultural practices are not simply matters of belief or conviction held in a disembodied mind, but are embedded within our bodily perceptual orientation.

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8

Schaub, Alexander. Robust Perception from Optical Sensors for Reactive Behaviors in Autonomous Robotic Vehicles. Springer Vieweg, 2017.

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9

Schellenberg, Susanna. Perceptual Evidence. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198827702.003.0008.

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Chapter 7 introduces a distinction between two kinds of evidence: phenomenal evidence (evidence that corresponds to how our environment sensorily seems to us) and factive evidence (evidence that is determined by the environment to which we are perceptually related). Regardless of whether we are perceiving, hallucinating, or suffering an illusion, we have phenomenal evidence. However, when we perceive, we have additional factive evidence. The rational source of both phenomenal and factive evidence lies in employing perceptual capacities: perceptual states have epistemic force due to the epistemic and metaphysical primacy of employing perceptual capacities in perception over employing them in hallucination or illusion. So epistemic force stems from an asymmetric dependence of the employment of perceptual capacities in hallucination and illusion on their employment in perception. Insofar as both kinds of evidence stem from properties of the perceptual capacities employed, capacitism provides a unified account of phenomenal and factive evidence.

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10

Dudek, Piotr. Vision. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0014.

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Vision is a sensory modality of primary importance to many animal species. The efficient implementation of visual perception is also one of the main challenges in the design of intelligent robotic systems. This chapter reviews the principles of operation and key features of the early stages of biological vision systems. Following the observation that visual information processing starts in the eye, it reviews several approaches to constructing biomimetic artificial vision systems. It presents devices inspired by the morphology of the insects’ compound eyes, and devices tightly integrating image sensing and processing circuitry. These include silicon integrated circuits mimicking the operation of vertebrate retinas, and bio-inspired systems oriented towards machine vision applications, such as dynamic vision sensors and vision chips with pixel-parallel cellular processor arrays. It elucidates the advantages of the near-sensor processing of the visual information, and potential for future developments of neuromorphic vision sensors.

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11

United States. National Aeronautics and Space Administration., ed. Modeling visual, vestibular and oculomotor interactions in self-motion estimation: Final annual report for NAGW-4127, period covered--5/31/95 - 6/31/96. [Washington, DC: National Aeronautics and Space Administration, 1997.

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12

Italy) Italian Conference on Sensors and Microsystems (2nd : 1997 : Rome, C. Di Natale, A. D'Amico, and F. Davide. Artificial and Natural Perception: Proceedings of the 2nd Italian Conference on Sensors and Microsystems : Rome, Italy, 3-5 February 1997. World Scientific Publishing Company, 1998.

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13

Di Paolo, Ezequiel A., Thomas Buhrmann, and Xabier E. Barandiaran. The missing theory of agency. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198786849.003.0005.

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The sensorimotor approach emphasizes the significance of action as a determinant of perception, implicitly assuming an agent who engages in intentional actions serving his own interest. It has yet to concern itself with the origin of the norms guiding the agent’s behavior or with a definition of what an agent even is. The chapter examines how the enactive approach can fill this gap. It promotes a theory of agency grounded in the organizational properties of living systems and identifies three requirements—self-individuation, interactional asymmetry, and normativity—that are individually necessary and jointly sufficient to determine whether a system is an agent. The usefulness of the theory is tested by examining whether different systems satisfy these conditions. The chapter contributes to the conceptual clarification of the sensorimotor approach by showing how the notion of agency leads to an understanding of an organism’s sensors and effectors that goes beyond arbitrary anatomical distinctions.

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14

Valle, Maurizio, and Ravinder S. Dahiya. Robotic Tactile Sensing: Technologies and System. Springer, 2012.

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15

(Editor), T. Kumazawa, L. Kruger (Editor), and K. Mizumura (Editor), eds. The Polymodal Receptor - A Gateway to Pathological Pain (Progress in Brain Research). Elsevier Science, 1996.

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16

Takao, Kumazawa, Kruger Lawrence, and Mizumura Kazue, eds. The polymodal receptor: A gateway to pathological pain. Amsterdam: Elsevier, 1996.

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