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

You might also read

Related Articles

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

Sort by

Same author

How fish body stiffness distribution affects swimming performance: a theoretical perspective.

Bioinspiration & biomimetics·2026

Same author

Research on optimal stiffness distribution of homocercal fish tail based on surrogate modeling.

Bioinspiration & biomimetics·2025

Same author

Research pathways from tensegrity-related biological structures to tensegrity robots: a bibliometric analysis.

Bioinspiration & biomimetics·2025

Same author

Research on the Range of Stiffness Variation in a 2D Biomimetic Spinal Structure Based on Tensegrity Structures.

Biomimetics (Basel, Switzerland)·2025

Same author

An elbow passive exoskeleton with controllable assistance: Design and experimental.

The Review of scientific instruments·2025

Same author

Tracking Control for a Lower Extremity Exoskeleton Based on Adaptive Dynamic Programing.

Biomimetics (Basel, Switzerland)·2023

Same journal

Multiphysics Investigation on Thermal Characteristics of Internal Bio-Inspired V-Ribbed Cooling Channels for Outer Rotor PMSM.

Biomimetics (Basel, Switzerland)·2026

Same journal

Smart Logistics Model for Supply Chain Management via Brain-Inspired Geometric Deep Networks.

Biomimetics (Basel, Switzerland)·2026

Same journal

A Systematic Taxonomy of the Sunflower Optimization Algorithm: Variants, Hybridization Strategies, Applications, and Research Directions.

Biomimetics (Basel, Switzerland)·2026

Same journal

Toward a Compositional Theory of Trust in Embodied Intelligence: A QNLP Framework for Modeling Context, Interaction, and Trustworthiness.

Biomimetics (Basel, Switzerland)·2026

Same journal

Empirical Logic for Bio-Inspired Soft Computing: Illustrative Applications in Control Engineering and Cluster Analysis.

Biomimetics (Basel, Switzerland)·2026

Same journal

A Modified Multi-Strategy Dhole Optimization Algorithm and Its Engineering Applications.

Biomimetics (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 27, 2025

Author Spotlight: Assessing Brain Activity in Robotic-Assisted Lower Limb Rehabilitation Using fNIRS

Author Spotlight: Assessing Brain Activity in Robotic-Assisted Lower Limb Rehabilitation Using fNIRS

Published on: June 7, 2024

Review of Vision-Based Environmental Perception for Lower-Limb Exoskeleton Robots.

Chen Wang¹, Zhongcai Pei¹, Yanan Fan¹

¹School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.

Biomimetics (Basel, Switzerland)

|April 26, 2024

Summary

This summary is machine-generated.

This review explores environmental perception for lower-limb exoskeleton robots, focusing on visual sensors and deep learning. It analyzes key technologies and future directions for enhanced stability and human-machine interaction.

Keywords:

computer vision environmental perception gait planning lower-limb exoskeleton robots

More Related Videos

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

Training Persons with Spinal Cord Injury to Ambulate Using a Powered Exoskeleton

Training Persons with Spinal Cord Injury to Ambulate Using a Powered Exoskeleton

Published on: June 16, 2016

Related Experiment Videos

Last Updated: Jun 27, 2025

Author Spotlight: Assessing Brain Activity in Robotic-Assisted Lower Limb Rehabilitation Using fNIRS

Author Spotlight: Assessing Brain Activity in Robotic-Assisted Lower Limb Rehabilitation Using fNIRS

Published on: June 7, 2024

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

Training Persons with Spinal Cord Injury to Ambulate Using a Powered Exoskeleton

Training Persons with Spinal Cord Injury to Ambulate Using a Powered Exoskeleton

Published on: June 16, 2016

Area of Science:

Robotics
Artificial Intelligence
Biomechanics

Background:

Exoskeleton robots are wearable electromechanical devices enhancing human physical capabilities and aiding rehabilitation.
Advancements in visual sensors and deep learning have increased focus on exoskeleton environmental perception.
Environmental perception enables autonomous decision-making, improving stability, safety, and human-machine-environment interaction.

Purpose of the Study:

To review environmental perception technologies for lower-limb exoskeleton robots.
To analyze key technologies including datasets, critical terrain detection, and adaptive gait planning.
To identify limitations and propose future research directions in exoskeleton environmental perception.

Main Methods:

Review of visual sensors and control systems in exoskeletons.
Analysis of environmental perception technologies and datasets.
Examination of terrain detection and adaptive gait planning strategies.

Main Results:

Environmental perception enhances exoskeleton autonomy, safety, and interaction.
Key technologies include visual sensing, deep learning for terrain analysis, and adaptive gait planning.
Current limitations in perception hinder widespread exoskeleton adoption.

Conclusions:

Environmental perception is crucial for advanced lower-limb exoskeleton functionality.
Further research is needed to overcome current limitations and improve perception capabilities.
Future directions involve enhancing autonomous navigation and human-robot collaboration.