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

You might also read

Related Articles

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

Sort by
Same author

Adaptive Switching Strategy of an Aerial Drone's GNSS Antennas with Metallic Shielding for GNSS Anti-Jamming.

Sensors (Basel, Switzerland)·2025
Same author

Autonomous Lunar Rover Localization while Fully Scanning a Bounded Obstacle-Rich Workspace.

Sensors (Basel, Switzerland)·2024
Same author

Autonomous Detection of Humans in Off-Limits Mountain Areas.

Sensors (Basel, Switzerland)·2024
Same author

Three-Dimensional Multi-Agent Foraging Strategy Based on Local Interaction.

Sensors (Basel, Switzerland)·2023
Same author

Three-Dimensional Tracking of a Target under Angle-Frequency Measurements with Multiple Frequency Lines.

Sensors (Basel, Switzerland)·2023
Same author

Leader-Based Flocking of Multiple Swarm Robots in Underwater Environments.

Sensors (Basel, Switzerland)·2023
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jul 4, 2025

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
10:56

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

12.6K

Camera-Based Net Avoidance Controls of Underwater Robots.

Jonghoek Kim1

  • 1System Engineering Department, Sejong University, Seoul 5006, Republic of Korea.

Sensors (Basel, Switzerland)
|January 26, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a method for underwater robots to avoid fishing nets using camera-based deep neural networks. The robot abruptly moves away from detected nets to ensure safe navigation and goal achievement.

Keywords:
camera-based net detectionnet avoidance controlsreactive control lawsunderwater robot

More Related Videos

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

6.9K
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

10.3K

Related Experiment Videos

Last Updated: Jul 4, 2025

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
10:56

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

12.6K
Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

6.9K
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

10.3K

Area of Science:

  • Robotics
  • Computer Vision
  • Artificial Intelligence

Background:

  • Underwater robots face significant navigation challenges due to obstacles like fishing nets.
  • Detecting and avoiding fishing nets is crucial for mission success and robot safety in unknown aquatic environments.
  • Passive camera sensors provide limited information, such as bearing angles, but lack direct distance measurements to nets.

Purpose of the Study:

  • To develop a reactive control strategy for underwater robots to avoid fishing nets.
  • To enable robots to reach their goals in unknown environments despite the presence of fishing nets.
  • To utilize deep neural networks for underwater net detection via camera sensors.

Main Methods:

  • Employing deep neural networks for detecting fishing nets using underwater robot camera data.
  • Implementing a reactive avoidance maneuver: abrupt backward movement upon net detection.
  • Utilizing the bounding box of the detected net in camera images to guide avoidance.
  • Executing a large circular turn after backward movement to reorient towards the goal while maintaining a safe distance from the net.

Main Results:

  • The proposed method allows robots to effectively avoid detected fishing nets.
  • Simulations demonstrate the successful application of reactive control laws for net avoidance.
  • The strategy enables robots to progress towards their goal while mitigating entanglement risks.

Conclusions:

  • The developed reactive control laws provide a unique solution for underwater robot navigation around fishing nets.
  • Camera-based net detection combined with abrupt avoidance maneuvers enhances robot safety and mission capability.
  • The approach is effective in simulations and offers a promising direction for real-world underwater robot operations.