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Cited by 23Robot Manipulation and LearningAI-based Problem Solving and PlanningRobotic Path Planning Algorithms

Autonomous Electric Vehicle Battery Disassembly Based on NeuroSymbolic Computing

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Zhang, Hengwei, Yang, Hua, Wang, Haitao, Wang, Zhigang, Zhang, Shengmin, Chen, Ming·2023·Lecture Notes in Networks and Systems
DOI 10.1007/978-3-031-16078-3_30
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  • Coordination of decentralized AI systems with centralized grid operators is non-trivial.

    “Also, the coordination of decentralized Artificial Intelligence (AI) systems at homes, vehicles, among others. with centralized grid operators is non-trivial [111].”

    From Economic Impacts and Mitigation for the Grid Connected Electric Vehicle Charging: A Technical and Operational Overview (2026) · cites this paper as [111]

    The Introduction (pp. 1–2) and Summary (p. 12) discuss autonomous robotic disassembly of electric-vehicle batteries, not coordination between decentralized AI systems and centralized grid operators. Searches for grid operators, homes, vehicles, and distributed energy management found no passage addressing the attributed claim. (LLM, conf=0.76)

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Research works printed but not linked: 23

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Cited by

Sorted by citations

Authors
Zhang, H., Yang, H., Wang, H., Wang, Z., Zhang, S., & Chen, M.
Affiliations
  • Shanghai Jiao Tong University (CN)
  • Intel (United States) (US)
Corresponding author
Chen, Ming
ORCID
Venue
Lecture Notes in Networks and Systems
Publisher
Springer International Publishing
Published
2022-09-01
Pages
443-457
ISSN
  • 2367-3370 (ISSN-L)
  • 2367-3389
DOI
10.1007/978-3-031-16078-3_30
OpenAlex
W4280549264
Cited by
23
References
1
Citations by year
2026: 3 · 2025: 6 · 2024: 5 · 2023: 8 · 2022: 1
FWCI
7.63
Type
conference paper
Language
en
Open access
Licence
Locations
  • Lecture notes in networks and systems (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
  • Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Robotic Path Planning Algorithms
Keywords
battery recycling, task and motion planning, autonomous robots, unstructured environments, obstacle avoidance

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