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大纲
  • Who we are
  • Our goals and our tasks
  • Our Events
  • Our actions
  • Our publications
  • Our achievements and videos
  • Our datasets and models
  • Our satellite laboratories
  • Join us
    • Who we are

    A free communication space for Neuro-Symbolic AI lovers.

    A new collaborative innovation paradigm of industry, academy, research and education.

    A new mechanism of technology innovation, application demonstration and industry incubation for the transformation of achievements.

    Our value: innovation, inclusion, sustainability, openness and community

    Our goals and our tasks

    AI empowers the green manufacturing industry: by promoting the green transformation and upgrading of traditional industries through profound changes in manufacturing models. It also promotes the premium, intelligent, and green development of manufacturing, green and low-carbon production and lifestyle, and aims to peak carbon dioxide emissions and achieve carbon neutrality goals.

    Developing a robotic embodied intelligent control architecture that integrates knowledge & action, training & inference, and a safe and controllable intelligent dismantling technology system.

    Developing autonomous disassembly robots based on Neuro-Symbolic AI, and establishing knowledge-based flexible disassembly production system to achieve intelligent disassembly of multiple varieties & small batches of end-of life products in complex and dynamic scenarios.

    Our Events
    Looking back at the past and gaining insight into the development history; integrate into the Neuro-Symbolic AI HOME and express our common future!

      Development history

    • June 19, 2023, the 1st Neuro-Symbolic AI HOME Summer School was held online. (PDF)
    • July 10-12, 2023, Ningbo China, a workshop on the Technology Roadmap of Robotic Disassembly Based on Neuro-Symbolic AI was held. (PDF)
    • June 24-25, 2024, Shanghai Jiao Tong University, a workshop on the 2024 Neuro-Symbolic AI HOME was held. (PDF)
    • June 25-July 11, 2024, Shanghai Jiao Tong University, the 2024 Neuro-Symbolic AI HOME Summer School was held. (PDF)
    • September, 2024, the Technology Roadmap 2.0 of Robotic Disassembly Based on Neuro-Symbolic AI was released. (PDF)

      Exciting Moment

    • May 24-25, 2024, Putrajaya Malaysia, 13th AAEF International Conference, 2 Presentations were delivered. (PDF)
    • June 2024, Mr Zhang Yisheng completed his master's thesis "Research on Continual Learning Methods for Autonomous and Robust Disassembly of Power Batteries by Robots". (PDF)
    • August 14, 2024, the battery disassembly autonomous mobile composite robot BEAM-1 made its debut at the Intel China Academia Forum 2024. (PDF)
    • October 14-18, 2024, Abu Dhabi, United Arab Emirates, IROS 2024, A battery disassembly AMMR system based on neural symbol AI (BEAM-1) was proposed. (PDF)
    • October 16-18, 2024, Detroit, USA, IWAR 2024, A robot autonomous disassembly system for power battery remanufacturing was proposed. (PDF)
    • October 25, 2024, Zhejiang China, CNCC 2024, Invited Pesentaion: NeuroSymbolic TAMP-Innovative Practices Driving the Embodiment of Industrial Robots. (PDF)

    Our actions

      Technology Roadmap

    • Technology Roadmap of Robotic Disassembly Based on Neuro-Symbolic AI (Ver. 2023) (PDF)
    • Technology Roadmap 2.0 of Robotic Disassembly Based on Neuro-Symbolic AI (Ver. 2024) (PDF)

      Standardization of AI in Green Manufacturing

      General Technical guidelines for intelligent disassembly

    • Standardize the technical requirements for multimodal information perception, autonomous decision-making control, human-machine collaborative systems, dynamic planning, real-time scheduling, detection and maintenance, data knowledge management, security management, and other aspects in intelligent dismantling. (PDF)

      Summer school

      Experience learning in a way you have ever had!

    • Special design for young students who are passionate about Neuro-Symbolic AI, and aspire to further their studies in the field of intelligent robotics.
    • Deeply understanding the principles and technologies of Neuro-Symbolic AI, cognitive robots, machine learning.
    • Improving comprehensive abilities in scientific research, and cultivating critical AI thinking.
    • The 1st Neuro-Symbolic AI HOME Summer School (June 19, 2023, online) (PDF)
    • 2024 Neuro-Symbolic AI HOME Summer School - Course Schedule (PDF)
    • Neural Symbolic AI Summer School: Knowledge You Should Have Before Starting (PDF)
    • The 2024 Neuro-Symbolic AI HOME Summer School triumphantly concluded! (PDF)

      Inclusive projects


    • Autonomous disassembly robot for EV batteries based on Neuro-Symbolic AI (PDF)
    • Accurate screw detection method for autonomous robotic disassembly of EV batteries (PDF)
    • Robust screw head fitting method for robotic disassembly of EV batteries based on force perception (PDF)
    • Autonomous decision and planning method based on symbolic operators (PDF)
    • Intelligent tasks planning for robotic disassembly of EV batteries based on large language models (PDF)
    • Multifunctional autonomous dismantling workstation for screws of EV batteries (PDF)
    Our publications

      Journal Articles

    • Neuro-Symbolic Task and Motion Planner for Disassembly Electric Vehicle Batteries[J]. Journal of Computer Research and Development, 2021, 58(12): 2604-2617. (in Chinese) (PDF)
    • A Method of Domain Dictionary Construction for Electric Vehicles Disassembly[J]. Entropy 2022, 24(3), 363. (PDF)
    • A novel knowledge-driven flexible human-robot hybrid disassembly line and its key technologies for electric vehicle batteries[J]. Journal of Manufacturing Systems 68 (2023) 338-353. (PDF)
    • An accurate activate screw detection method for automatic electric vehicle battery disassembly[J]. Batteries, 2023, 9(3),187. (PDF)
    • Deliberating on Intelligent Robotic Disassembly of End-of Life EV Batteries [J]. Automobile & Parts, 2023(05):54-58. (in Chinese) (PDF)

      Conference Papers

    • Revolutionizing Battery Disassembly: The Design and Implementation of a Battery Disassembly Autonomous Mobile Manipulator Robot(BEAM-1).arXiv preprint arXiv:2407.06590, 2024. (PDF)
    • Autonomous Electric Vehicle Battery Disassembly Based on NeuroSymbolic Computing[C]//Proceedings of SAI Intelligent Systems Conference. Springer, Cham, 2023: 443-457. (PDF)
    • Development of an Autonomous, Explainable, Robust Robotic System for Electric Vehicle Battery Disassembly[C]//2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2023: 409-414. (PDF)
    • Design and Implementation of a Multifunctional Screw Disassembly Workstation[C]//International Conference on Intelligent Robotics and Applications. Singapore: Springer Nature Singapore, 2023: 506-519. (PDF)
    • Boosting Robot Intelligence in Practice: Enhancing Robot Task Planning with Large Language Models[C]//2023 8th International Conference on Robotics and Automation Engineering (ICRAE). Singapore: Singapore, 2023: 90-94. (PDF)

      Special reports

    • Technology Roadmap of Robotic Disassembly Based on Neuro-Symbolic AI (Ver. 2023) (PDF)
    • Suggestions for developing intelligent technology for robotic disassembly based on third-generation artificial intelligence (PDF)
    • Developing Green, Low-Carbon, Circular, and Intelligent New Quality Productivity of China's Automotive Industry (PDF)
    • Green and Low-Carbon Circular Development of China's Automotive Industry：National Progress Report (PDF)
    • China's End-of life Electric Vehicle Recycling Technology & Equipment and Demonstration Projects (PDF)
    • Summary Report: The 2024 Neuro-Symbolic AI HOME Summer School at Shanghai Jiao Tong University (PDF)
    • CNCC 2024 Technical Forum Invited Pesentaion: NeuroSymbolic TAMP-Innovative Practices Driving the Embodiment of Industrial Robots (PDF)
    • Technology Roadmap 2.0 of Robotic Disassembly Based on Neuro-Symbolic AI (Ver. 2024) (PDF)
    Our achievements and videos
    • Autonomous disassembly robot for EV batteries based on Neuro-Symbolic AI (2022 video)

    • Multifunctional autonomous dismantling workstation for screws of EV batteries (2023 video)

    • Digital Twin System for Robotic Disassembly Workstation

    Our datasets and models
    • Specifications for dataset design, collection and annotation (PDF)
    • Datasets and models of EV batteries for deep learning objects detection algorithms and positioning tasks.
    • The EV batteries image dataset (Part 1) includes 1719 RGB images of EV batteries, and all screws in the images are manually labeled using LabelImg software. This dataset includes a total of 6992 external hex screws and 687 hex nuts.
    • The EV batteries image dataset (Part 2) includes 1159 RGB images of EV batteries, including image information of each stage of EV battery disassembly, for the identification and testing of various modules of EV batteries.
    • The EV batteries image dataset (Part 3) includes 1200 RGB images of EV batteries. All screws in the images are manually labeled using LabelImg software and classified based on the current disassembly state (whether the end effector is aligned, whether there are obstacles, etc.) for training neural predicate models.
    • The EV batteries image dataset (Part 4) includes 300 RGB images of common screws in EV batteries, and all screws in the images are manually labeled using LabelImg software. This dataset includes eight types of screws with different specifications, including external hexagonal screws, internal hexagonal screws, cross screws, and star screws.
    Our satellite laboratories
    • Specifications for Neuro-Symbolic AI HOME satellite laboratory certification and accreditation (PDF)
    • Neuro-Symbolic Al HOME Satellite Laboratories
    • Neuro-Symbolic AI HOME (Shanghai Caohejing) Satellite Laboratory (PDF)
    • Neuro-Symbolic AI HOME (Shanghai Jiading) Satellite Laboratory (PDF)
    • Neuro-Symbolic AI HOME (Shanghai Songjiang) Satellite Laboratory
    • Neuro-Symbolic AI HOME (Shanghai Minhang) Satellite Laboratory (PDF)
    Join us!

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