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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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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...
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Motor and Sensory Areas of the Cortex01:14

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The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
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Tactile and Chemical Senses01:27

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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.
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Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception.

A Mitrokhin1, P Sutor2, C Fermüller1

  • 1Department of Computer Science, University of Maryland, College Park, MD 20742, USA.

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Summary
This summary is machine-generated.

This study integrates robotic action and perception using hyperdimensional binary vectors (HBVs) and dynamic vision sensors (DVS). This approach enables real-time navigation and obstacle avoidance by creating a unified memory of experiences.

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Area of Science:

  • Robotics
  • Computer Vision
  • Artificial Intelligence

Background:

  • Modern robotics emphasizes active perception, fusing platform sensing with motor control.
  • Traditional vision systems separate frame-based perception from continuous motion, hindering seamless integration.
  • Dynamic Vision Sensors (DVS) offer a solution by capturing motion events.

Purpose of the Study:

  • To propose a method for encoding actions and perceptions into a unified, semantically informed space.
  • To enable dynamic world perception for real-time robotic applications like navigation and obstacle avoidance.
  • To create a memory system for robots by binding actions to perceptions.

Main Methods:

  • Utilizing Dynamic Vision Sensors (DVS) for visual perception.
  • Employing hyperdimensional binary vectors (HBVs) to encode actions and perceptions into a single space.
  • Integrating HBVs with autoassociative memory and deep learning for control systems.

Main Results:

  • Demonstrated the binding of visual perception from DVS with system velocity for dynamic world perception.
  • Showcased the capability of HBVs to encode action-perception histories as constant-sized vectors.
  • Successfully applied the method to a quadcopter drone ego-motion inference task and the MVSEC dataset.

Conclusions:

  • The proposed method effectively unifies action and perception in robotics using HBVs and DVS.
  • This integrated approach facilitates real-time navigation and obstacle avoidance.
  • The system's ability to form a memory of action-perception sequences opens new avenues for advanced robotic control.