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Looking back at the past and gaining insight into the development history; integrate into the Neuro-Symbolic AI HOME and express our common future!
- September 1-2, 2022, Amsterdam Netherlands, IntelliSys 2022, A disassembly task and motion planning framework based on Neuro-Symbolic computation was proposed. (PDF)
- December 2022, Mr. Zhang Hengwei completed his master's dissertation (PDF)
- June 28-30, 2023, Seattle USA, AIM 2023, An autonomous, interpretable, and robust robot disassembly system was proposed. (PDF)
- July 5-7, 2023, Hangzhou China, ICIRA 2023, A multifunctional screw disassembly system with replaceable screwdrivers was proposed. (PDF)
- November 17-19, 2023, Singapore, ICRAE 2023, An intelligent planning method for robot tasks based on Large Language Model (LLM) was proposed. (PDF)
- December 2023, Mr. Zhang Shengmin completed his master's dissertation (PDF)
- 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)
- April 16, 2025, Mr. Peng Yanlong was honored with the "Dream Building Scholarship" in recognition of his outstanding contributions to the field of innovative autonomous remanufacturing of power batteries, enabled by neural symbolic embodied intelligence. (PDF)
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