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Related Concept Videos

Vision01:24

Vision

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Rolling Without Slipping01:09

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People have observed the rolling motion without slipping ever since the invention of the wheel. For example, one can look at the interaction between a car's tires and the surface of the road. If the driver presses the accelerator to the floor so that the tires spin without the car moving forward, there must be kinetic friction between the wheels and the road's surface. If the driver slowly presses the accelerator, causing the car to move forward, the tires roll without slipping. It is...
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Rolling With Slipping01:14

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Rolling with slipping is a physical phenomenon that occurs when a rolling object experiences both rotational and linear motion but also experiences frictional forces that cause slipping. This phenomenon can occur in various situations, such as when a tire rolls on a wet road or a ball rolls on a rough surface.
An object's rolling motion is characterized by its rotation around its axis, while linear motion refers to the object's translational motion along a surface. Frictional forces can...
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Color Vision01:24

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Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
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Acid–Base Equilibria: Activity-Based Definition of pH01:10

Acid–Base Equilibria: Activity-Based Definition of pH

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For an ideal solution, the pH is defined as the negative logarithm of the hydrogen ion concentration. For a non-ideal solution, an accurate measurement of the pH must consider the negative logarithm of the hydrogen ion activity rather than concentration. In such a solution, the pH can be more accurately defined as the negative logarithm of a product of the hydrogen ion concentration and its activity coefficient.
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Integration of Synaptic Events01:28

Integration of Synaptic Events

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Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
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Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
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A Novel Event-Based Incipient Slip Detection Using Dynamic Active-Pixel Vision Sensor (DAVIS).

Amin Rigi1, Fariborz Baghaei Naeini2, Dimitrios Makris3

  • 1Faculty of Science, Engineering and Computing, Kingston University London, London SW15 3DW, UK. gamin009@gmail.com.

Sensors (Basel, Switzerland)
|January 25, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a novel neuromorphic vision sensor approach for detecting incipient slip in real-time. The system demonstrates promising capabilities for robotic manipulation, even in noisy, dynamic environments.

Keywords:
dynamic vision sensorincipient sliprobot graspingtactile sensorvision-based slip detection

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Area of Science:

  • Robotics
  • Sensor Technology
  • Artificial Intelligence

Background:

  • Detecting incipient slip is crucial for advanced robotic manipulation and control.
  • Traditional methods often struggle with real-time performance in dynamic or unstructured environments.

Purpose of the Study:

  • To propose and validate a novel approach for detecting incipient slip using a neuromorphic event-based vision sensor.
  • To evaluate the precision and response time of this method across various objects and conditions.

Main Methods:

  • Development of event-based algorithms for slip detection, stress distribution, and vibration analysis.
  • Utilizing a neuromorphic event-based vision sensor (DAVIS) to monitor contact area with a transparent silicone medium.
  • Validation through 37 experiments with diverse objects and comparison with a high-speed camera (1000 FPS).

Main Results:

  • The proposed sensor successfully detected incipient slippage with an average latency of 44.1 ms in unstructured environments.
  • Despite high noise levels in uncontrolled experiments, eleven trials showed detection latency below 10 ms.
  • The system demonstrated precision and response time comparable across various object properties.

Conclusions:

  • The neuromorphic event-based vision sensor offers a promising solution for incipient slip detection.
  • The approach shows high potential for integration into robotic manipulation systems, particularly in dynamic settings.
  • Further development could enhance performance and robustness in complex, real-world scenarios.