In recent years, with the development of economic society and the improvement of people's living standards, the number and types of household rubbish are increasing. However, on one hand, due to people's weak ...
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This paper briefly describes the designing process of a hydraulic inverted pendulum including hardware and software design. First, the mechanical structure, including the components of the platform will be introduced....
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With the deepening of teaching reform and the continuous development of modern education technology, computer technology, relying on its advantages of high efficiency and convenience, began to be widely used in teachi...
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In order to meet the current needs of power system operation and maintenance, a fiber optic online monitoring method based on optical power difference is proposed. The main station of the system is equipped with a mon...
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A design scheme for an intelligent code reader system with compact structure, high cost-effectiveness, low power consumption, and strong stability is proposed to address the problems of limited variety, high cost, hig...
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The design and implementation of recognition systems play an important role in computer intelligent images, but there is a problem of inaccurate recognition processing. Traditional fuzzy recognition cannot solve the i...
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作者:
Cao, JingSchool of Art
Wuhan Business University Department of General Studies Hubei Wuhan China
Based on digital media technology, this article presents painting works in the form of projection through the application of projection technology. The display of traditional painting works requires a lot of manpower,...
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Since the trash can is not sanitary and fails to do the garbage classification, a household intelligent trash can based on SCM is designed. Firstly, the hardware of the intelligent trash can is designed, whose functio...
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Home furnishing requires meticulous attention to detail and knowledge in design and functionality. Current platforms often lack intuitive visualization tools for furniture placement within a real space. Given the limi...
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Home furnishing requires meticulous attention to detail and knowledge in design and functionality. Current platforms often lack intuitive visualization tools for furniture placement within a real space. Given the limitations observed in existing apps, this paper introduces an innovative Android application that utilizes augmented reality (AR). The app provides an intuitive environment, letting the user scan their room, make a furniture selection, and visualize it into an optimally designed arrangement, in real life, by using the smartphone's camera. This paper outlines the app's structure and its utility, implementing interior design constraints defined through mathematical functions, heuristics, and optimization techniques like Backtracking and Simulated Annealing algorithms, integrated with the AR system and 3D models to offer the most suitable furniture layout.
The efficient disassembly of end-of-life electric vehicle batteries(EOL-EVBs) is crucial for green manufacturing and sustainable development. The current pre-programmed disassembly conducted by the Autonomous Mobile M...
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ISBN:
(纸本)9798350377712;9798350377705
The efficient disassembly of end-of-life electric vehicle batteries(EOL-EVBs) is crucial for green manufacturing and sustainable development. The current pre-programmed disassembly conducted by the Autonomous Mobile Manipulator Robot(AMMR) struggles to meet the disassembly requirements in dynamic environments, complex scenarios, and unstructured processes. In this paper, we propose a Battery Disassembly AMMR(BEAM-1) system based on NeuralSymbolic AI. It detects the environmental state by leveraging a combination of multi-sensors and neural predicates and then translates this information into a quasi-symbolic space. In real-time, it identifies the optimal sequence of action primitives through LLM-heuristic tree search, ensuring high-precision execution of these primitives. Additionally, it employs positional speculative sampling using intuitive networks and achieves the disassembly of various bolt types with a meticulously designed end-effector. Importantly, BEAM-1 is a continuously learning embodied intelligence system capable of subjective reasoning like a human, and possessing intuition. A large number of real scene experiments have proved that it can autonomously perceive, decide, and execute to complete the continuous disassembly of bolts in multiple, multi-category, and complex situations, with a success rate of 98.78%. This research attempts to use NeuroSymbolic AI to give robots real autonomous reasoning, planning, and learning capabilities. BEAM-1 realizes the revolution of battery disassembly. Its framework can be easily ported to any robotic system to realize different application scenarios, which provides a ground-breaking idea for the design and implementation of future embodied intelligent robotic systems.
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