Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Perception01:28

Perception

828
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...
828
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

10.6K
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...
10.6K
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

6.1K
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....
6.1K
Tactile and Chemical Senses01:27

Tactile and Chemical Senses

521
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.
521

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Microsaccade-inspired event camera for robotics.

Science robotics·2024
Same author

Ajna: Generalized deep uncertainty for minimal perception on parsimonious robots.

Science robotics·2023
Same author

A bug's-eye view.

Science robotics·2020
Same author

The Ouchi illusion as an artifact of biased flow estimation.

Vision research·2000
Same author

Visual space distortion.

Biological cybernetics·1998
Same author

Families of stationary patterns producing illusory movement: insights into the visual system.

Proceedings. Biological sciences·1997
Same journal

DNA origami snaps into place.

Science robotics·2026
Same journal

A high-endurance DNA origami snap-through switch for functional nanoscale control.

Science robotics·2026
Same journal

Learning flight navigation like a honey bee.

Science robotics·2026
Same journal

Is your robot vacuum cleaner spying on you?

Science robotics·2026
Same journal

Do people feel safe in a robot's presence?

Science robotics·2026
Same journal

Stop chasing identical outcomes in HRI replication: Learn from the differences.

Science robotics·2026
See all related articles

Related Experiment Video

Updated: Dec 2, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.6K

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.

Science Robotics
|November 2, 2020
PubMed
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.

More Related Videos

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.9K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.3K

Related Experiment Videos

Last Updated: Dec 2, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.6K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.9K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.3K

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.