Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Depth Perception and Spatial Vision

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

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

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

Science robotics·2020

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

Search research articles

Related Experiment Video

Updated: Dec 6, 2025

Automated Charting of the Visual Space of Housefly Compound Eyes

Automated Charting of the Visual Space of Housefly Compound Eyes

Published on: March 31, 2022

A bug's-eye view.

Yiannis Aloimonos¹, Cornelia Fermüller²

¹Computer Vision Laboratory, Institute for Advanced Computer Studies, Department of Computer Science, Institute for Systems Research, University of Maryland, College Park, MD, USA. jyaloimo@umd.edu.

Science Robotics

|October 6, 2020

Summary

This summary is machine-generated.

This study introduces an insect-scale visual sensing system, reviving active vision capabilities for robotic applications. This advancement enables robots to perceive and interact with their environment more effectively.

More Related Videos

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

Related Experiment Videos

Last Updated: Dec 6, 2025

Automated Charting of the Visual Space of Housefly Compound Eyes

Automated Charting of the Visual Space of Housefly Compound Eyes

Published on: March 31, 2022

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

Area of Science:

Robotics
Computer Vision
Biomimicry

Background:

Traditional robotic vision systems often lack the agility and efficiency of biological systems.
The development of compact, low-power visual sensors is crucial for autonomous mobile robots.

Purpose of the Study:

To develop an insect-scale visual sensing system that mimics biological vision.
To re-establish active vision capabilities for enhanced robotic perception and navigation.

Main Methods:

Design and fabrication of a micro-scale visual sensor inspired by insect compound eyes.
Integration of the sensor with a control system enabling active visual exploration.

Main Results:

The developed system demonstrates real-time visual processing at an insect scale.
Active vision strategies were successfully implemented, allowing for dynamic environmental interaction.

Conclusions:

Insect-scale visual sensing systems represent a significant step towards bio-inspired robotics.
The revival of active vision in robotics opens new avenues for autonomous systems.