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Bibliographic Details
Main Authors: Kaarlela, Tero, Salo, Sami, Outeiro, Jose
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2507.14929
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author Kaarlela, Tero
Salo, Sami
Outeiro, Jose
author_facet Kaarlela, Tero
Salo, Sami
Outeiro, Jose
contents Disassembling and sorting Electric Vehicle Batteries (EVBs) supports a sustainable transition to electric vehicles by enabling a closed-loop supply chain. Currently, the manual disassembly process exposes workers to hazards, including electrocution and toxic chemicals. We propose a teleoperated system for the safe disassembly and sorting of EVBs. A human-in-the-loop can create and save disassembly sequences for unknown EVB types, enabling future automation. An RGB camera aligns the physical and digital twins of the EVB, and the digital twin of the robot is based on the Robot Operating System (ROS) middleware. This hybrid approach combines teleoperation and automation to improve safety, adaptability, and efficiency in EVB disassembly and sorting. The economic contribution is realized by reducing labor dependency and increasing throughput in battery recycling. An online pilot study was set up to evaluate the usability of the presented approach, and the results demonstrate the potential as a user-friendly solution.
format Preprint
id arxiv_https___arxiv_org_abs_2507_14929
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Digital twin and extended reality for teleoperation of the electric vehicle battery disassembly
Kaarlela, Tero
Salo, Sami
Outeiro, Jose
Robotics
Disassembling and sorting Electric Vehicle Batteries (EVBs) supports a sustainable transition to electric vehicles by enabling a closed-loop supply chain. Currently, the manual disassembly process exposes workers to hazards, including electrocution and toxic chemicals. We propose a teleoperated system for the safe disassembly and sorting of EVBs. A human-in-the-loop can create and save disassembly sequences for unknown EVB types, enabling future automation. An RGB camera aligns the physical and digital twins of the EVB, and the digital twin of the robot is based on the Robot Operating System (ROS) middleware. This hybrid approach combines teleoperation and automation to improve safety, adaptability, and efficiency in EVB disassembly and sorting. The economic contribution is realized by reducing labor dependency and increasing throughput in battery recycling. An online pilot study was set up to evaluate the usability of the presented approach, and the results demonstrate the potential as a user-friendly solution.
title Digital twin and extended reality for teleoperation of the electric vehicle battery disassembly
topic Robotics
url https://arxiv.org/abs/2507.14929