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Related Concept Videos

Tactile and Chemical Senses01:27

Tactile and Chemical Senses

Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex. This...
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the stimulus...
Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
Visual Agnosia01:12

Visual Agnosia

Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round end"...
Somatosensation01:33

Somatosensation

The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
Association Areas of the Cortex01:21

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...

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Related Experiment Video

Updated: May 29, 2026

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)

Published on: July 30, 2020

Feature-based tactile object recognition.

R A Browse1

  • 1Department of Computing and Information Science and the Department of Psychology, Queen's University, Kingston, Ont., Canada.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

Robotic tactile sensing uses array-force sensors to gather object surface data. This information, combined with proprioceptive data, helps robots identify objects and their placement through advanced interpretation techniques.

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Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
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Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

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Last Updated: May 29, 2026

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)

Published on: July 30, 2020

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Sensor Technology

Background:

  • Tactile sensing is crucial for robotic perception and object interaction.
  • Array-force sensors provide precise, localized surface data across a robot's workspace.
  • Integrating tactile and proprioceptive information is key for robust object recognition.

Purpose of the Study:

  • To develop a technique for interpreting tactile sensor data for object identification and placement.
  • To enable cooperative interpretation using information from multiple sensor contacts.
  • To enhance robotic perception capabilities through advanced tactile sensing.

Main Methods:

  • Utilizing array-force sensors for tactile data acquisition.
  • Employing tactile image features that characterize object properties.
  • Integrating proprioceptive information with tactile data.
  • Generating constraints on object identity and placement based on sensor inputs.

Main Results:

  • Demonstrated a method for leveraging tactile sensor data for object recognition.
  • Showcased how multiple sensor contacts can improve interpretation accuracy.
  • Enabled robots to identify objects and their precise locations using tactile feedback.

Conclusions:

  • Tactile sensing, when combined with proprioception and advanced interpretation, significantly enhances robotic perception.
  • The described technique allows for cooperative use of multi-contact sensor information.
  • This approach advances the capabilities of robots in understanding and interacting with their environment.