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

Machines: Problem Solving I01:22

Machines: Problem Solving I

A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
Machines: Problem Solving II01:30

Machines: Problem Solving II

Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.

You might also read

Related Articles

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

Sort by
Same author

An interpretable machine learning framework for adverse drug reaction prediction from drug-target interactions.

PloS one·2026
Same author

A Cylindrical High-Temperature-Resistant Fiber-Optic Composite Sensor for Temperature and Pressure Measurement.

Sensors (Basel, Switzerland)·2026
Same author

Robotic Removal and Collection of Screws in Collaborative Disassembly of End-of-Life Electric Vehicle Batteries.

Biomimetics (Basel, Switzerland)·2025
Same author

Robotic disassembly of permanent magnet electric motors.

Royal Society open science·2025
Same author

Characterizing the mechanics of rectangular peg-hole disassembly and the effect of the active compliance centre on the extraction force.

Royal Society open science·2024
Same author

A New Single-Parameter Bees Algorithm.

Biomimetics (Basel, Switzerland)·2024
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

Related Experiment Video

Updated: May 13, 2026

Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

12.3K

Task Allocation and Sequence Planning for Human-Robot Collaborative Disassembly of End-of-Life Products Using the

Jun Huang1, Sheng Yin1, Muyao Tan1

  • 1School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China.

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

This study introduces an optimized method for human-robot collaboration in end-of-life product disassembly, improving efficiency and addressing component placement. The approach refines task allocation and sequence planning for remanufacturing processes.

Keywords:
Bees Algorithmdisassembly sequence planningend-of-life productshuman–robot collaborative disassemblytask allocation

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K

Related Experiment Videos

Last Updated: May 13, 2026

Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

12.3K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K

Area of Science:

  • Engineering and Technology
  • Robotics and Automation
  • Sustainable Manufacturing

Background:

  • Remanufacturing is gaining importance for environmental and resource conservation.
  • Disassembly is a critical step in remanufacturing end-of-life (EoL) products.
  • Human-robot collaborative disassembly offers a flexible, semi-automated solution to enhance productivity and worker safety.

Purpose of the Study:

  • To present a refined method for task allocation and sequence planning in human-robot collaborative disassembly of EoL products.
  • To address limitations in existing task allocation schemes and the component placement issue.
  • To optimize disassembly processes based on time, cost, and utility value.

Main Methods:

  • Developed criteria for human-robot disassembly task allocation, including dismantling and component placement.
  • Employed a discrete Bees Algorithm with genetic operators for optimizing disassembly solutions.
  • Validated the proposed method through case studies on electric motors and power batteries from EoL vehicles.

Main Results:

  • The proposed method effectively plans and optimizes task allocation and sequence for human-robot collaborative disassembly.
  • Case studies demonstrated the feasibility and effectiveness of the approach in real-world scenarios.
  • The optimization considered key performance indicators such as time, cost, and utility value.

Conclusions:

  • The presented method provides a robust framework for improving human-robot collaborative disassembly in remanufacturing.
  • It offers a significant advancement over previous task allocation schemes by incorporating component placement.
  • The approach contributes to more efficient and sustainable end-of-life product management.