Towards reuse and recycling of lithium-ion batteries: tele-robotics for disassembly of electric vehicle batteries
Frontiers in Robotics and AI, ISSN: 2296-9144, Vol: 10, Page: 1179296
2023
- 17Citations
- 62Captures
- 1Mentions
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Most Recent News
Research from University of Birmingham Has Provided New Data on Robotics and Artificial Intelligence (Towards reuse and recycling of lithium-ion batteries: tele-robotics for disassembly of electric vehicle batteries)
2023 SEP 08 (NewsRx) -- By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News -- Research findings on robotics
Article Description
Disassembly of electric vehicle batteries is a critical stage in recovery, recycling and re-use of high-value battery materials, but is complicated by limited standardisation, design complexity, compounded by uncertainty and safety issues from varying end-of-life condition. Telerobotics presents an avenue for semi-autonomous robotic disassembly that addresses these challenges. However, it is suggested that quality and realism of the user’s haptic interactions with the environment is important for precise, contact-rich and safety-critical tasks. To investigate this proposition, we demonstrate the disassembly of a Nissan Leaf 2011 module stack as a basis for a comparative study between a traditional asymmetric haptic-“cobot” master-slave framework and identical master and slave cobots based on task completion time and success rate metrics. We demonstrate across a range of disassembly tasks a time reduction of 22%–57% is achieved using identical cobots, yet this improvement arises chiefly from an expanded workspace and 1:1 positional mapping, and suffers a 10%–30% reduction in first attempt success rate. For unbolting and grasping, the realism of force feedback was comparatively less important than directional information encoded in the interaction, however, 1:1 force mapping strengthened environmental tactile cues for vacuum pick-and-place and contact cutting tasks.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85170691232&origin=inward; http://dx.doi.org/10.3389/frobt.2023.1179296; http://www.ncbi.nlm.nih.gov/pubmed/37705870; https://www.frontiersin.org/articles/10.3389/frobt.2023.1179296/full; https://dx.doi.org/10.3389/frobt.2023.1179296; https://www.frontiersin.org/journals/robotics-and-ai/articles/10.3389/frobt.2023.1179296/full
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