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Subliminal Perception

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Subliminal perception refers to the processing of sensory information that occurs below the level of conscious awareness. Researchers study subliminal perception by presenting a stimulus, such as a word or image, very quickly, typically around 50 milliseconds. This rapid presentation is often followed by another stimulus, such as a pattern of dots or lines, which blocks further mental processing of the initial stimulus. As a result, if participants cannot identify the initial stimulus better...
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Active Haptic Perception in Robots: A Review.

Lucia Seminara1, Paolo Gastaldo1, Simon J Watt2

  • 1Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture, University of Genoa, Genoa, Italy.

Frontiers in Neurorobotics
|August 6, 2019
PubMed
Summary
This summary is machine-generated.

New robots require advanced sensorimotor control for dynamic environments. This study proposes a framework linking sensing to action, inspired by human haptic perception, to improve robot exploration capabilities.

Keywords:
active touchexplorationhaptic perceptionhumans and robotsrobot touchsensorimotor control

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Human-Computer Interaction

Background:

  • Modern robots, including service and mobile robots, operate in dynamic, open-ended environments.
  • This necessitates a paradigm shift towards on-line, safe feedback motion control and autonomous capabilities.
  • Environmental uncertainties highlight the critical role of sensing in robot design and function.

Purpose of the Study:

  • To propose a functional framework connecting sensing to action in closed-loop sensorimotor control for robots.
  • To leverage principles of human haptic perception for robot control models.
  • To provide a principled perspective on robotics and haptic literature taxonomies, focusing on active exploration.

Main Methods:

  • Developing a classification system inspired by human haptic perception.
  • Analyzing the coordination between motor systems and sensory feedback for complex tasks.
  • Focusing on active exploration as a use case to demonstrate the framework's utility.

Main Results:

  • A functional picture linking sensing to action in closed-loop sensorimotor control for robotic touch (hands, fingers).
  • A classification system that bridges robotics and human haptic literature.
  • Demonstration of how distributed and heterogeneous sensory data can be exploited for robot exploration.

Conclusions:

  • Effective sensorimotor control is crucial for robots operating in uncertain, real-world conditions.
  • Human haptic perception offers valuable insights for designing advanced robot control systems.
  • The proposed framework enhances robot capabilities in complex tasks like active exploration by integrating sensory feedback.