PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 1, 2026Procedia CIRP0 citationsOpen Access

Towards Automated Disassembly for Battery Removal of Robot Vacuum Cleaners

View Full Paper
DSDheeraj SinghLHLasse HöltgeAAAnwar Al Assadi

Key Points

  • The aim is to automate the battery removal process from robot vacuum cleaners to improve recycling efficiency and safety.
  • Developed a modular robotic cell for fully automating battery removal.
  • Implemented screw detection, battery cover removal, and battery extraction processes.
  • Utilized force-controlled robot programming along with computer vision for detection and error handling.
  • Achieved an 81% success rate in battery removal across various robot vacuum cleaner models.

Abstract

The annual amount of electronic waste is increasing worldwide, and the number of battery-powered electrical appliances, such as Robot Vacuum Cleaners (RVCs), is also on the rise. The current state-of-the-art disposal process involves collection, partial disassembly, shredding, and subsequent sorting, which currently does not prioritize batteries, leading to fre incidents. Furthermore, this process does not guarantee that other value-preserving recycling methods can directly reuse materials as recyclate. Rather than having humans perform this dirty and hazardous task, robot-based disassembly could serve as a new and effective treatment to address these issues. This paper presents a case study of a critical step: the robot-based removal of batteries from RVCs. The proposed solution is a robust and modular robotic cell that fully automates the removal of spring terminal batteries from RVCs once a user feeds the object into the cell. The disassembly process consists of screw detection, unfastening, removal of the battery cover, and finally, removal of the battery. For this objective, we use a force-controlled skill-based robot programming framework combined with computer vision-based detection and comprehensive error handling strategies. Using the robot cell, we achieved an 81% success rate in the entire pipeline for different models.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Singh et al. (2026) studied this question.

synapsesocial.com/papers/6a1d230d02fbce9130638cfdhttps://doi.org/10.1016/j.procir.2026.05.160
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Robotic ease of Disassembly Metric (Re-DiM) for human robot cooperative disassembly: A case study for a vacuum cleaner2024 · 14 citations
  2. 2A hybrid disassembly framework for disassembly of electric vehicle batteries2021 · 90 citations
  3. 3Behavior Trees in Robotics and AI2018 · 508 citations
  4. 4End-of-life resource recovery from emerging electronic products – A case study of robotic vacuum cleaners2016 · 46 citations
  5. 5Robotic system for automated disassembly of electronic waste: Unscrewing2025 · 18 citations