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Related Concept Videos

Perception01:28

Perception

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Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
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Gestalt Principles of Perception01:21

Gestalt Principles of Perception

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Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
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Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Introducing Social Perception01:29

Introducing Social Perception

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Perceiving others accurately is fundamental to effective communication and relationship-building. Social perception, a key concept in social psychology, refers to the cognitive processes through which individuals gather and interpret information about others to understand their actions, intentions, and motivations. This process extends beyond spoken words and overt behaviors, incorporating subtle nonverbal cues and contextual factors.Nonverbal Cues and Their SignificanceNonverbal cues play a...
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Perceptual Constancy01:12

Perceptual Constancy

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Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
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Factors Affecting Perception01:25

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Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
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Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
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Building an Affordances Map With Interactive Perception.

Léni K Le Goff1, Oussama Yaakoubi1, Alexandre Coninx1

  • 1Sorbonne Université, CNRS, Institut des Systémes Intelligents et de Robotique, ISIR, Paris, France.

Frontiers in Neurorobotics
|May 27, 2022
PubMed
Summary
This summary is machine-generated.

Robots can learn to understand their environment by interacting with it, creating affordance maps that link actions to visual features. This approach enables robots to build scene understanding without prior object knowledge.

Keywords:
affordance learningautonomous explorationinteractive perceptiononline learningperceptual map

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Area of Science:

  • Robotics
  • Computer Vision
  • Artificial Intelligence

Background:

  • Robots require environmental understanding for task completion.
  • Learning environmental interaction is crucial for robots in open environments.
  • Affordance maps can structure visual scene understanding based on robot capabilities.

Purpose of the Study:

  • To develop an approach for building affordance maps through interactive perception.
  • To enable robots to learn visual scene understanding from interaction.
  • To create a system that does not require prior object definition.

Main Methods:

  • Utilized an interactive perception approach.
  • Implemented online classification for real-time learning.
  • Developed a modular system for learning from diverse skills.
  • Formalized affordances based on visual features and action effects.

Main Results:

  • Successfully built affordance maps for a real PR2 robot.
  • Demonstrated learning from three distinct action primitives.
  • Validated the approach's ability to learn without explicit object recognition.

Conclusions:

  • The proposed interactive perception method effectively builds affordance maps.
  • Robots can learn environmental understanding and action capabilities through interaction.
  • This approach offers a flexible framework for robot learning in unstructured environments.