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This paper provides a comprehensive analysis of the profitability outlook and cost projections for a company operating in the intelligent robotics sector, with a specific focus on its flagship product, intelligent warehouse cleaning robots. Utilizing the Tob business model, the company strategically positions itself to deliver high-value services and cultivate enduring client partnerships, thereby ensuring a stable revenue stream. However, the company faces challenges due to initial capital constraints, which hinder timely product development and market competitiveness. Situated in the China (Shanghai) Pilot Free Trade Zone Lingang New Area, the company benefits from favorable policy incentives and a conducive development environment. This examination delves into the favorable factors contributing to profitability, such as innovative technologies and market demand, as well as the unfavorable factors constraining growth, including capital limitations and market saturation. Additionally, a comprehensive cost projection analysis covering various operational facets is presented to provide insights into the company's financial outlook.
[1] Zhang Wen. Research on Autonomous Navigation Method of Indoor Robots Based on Multi-Sensor Fusion [D]. University of Science and Technology of China, 2017. DOI: CNKI: CDMD:1.1017.174786.
[2] Xu Chuyuan, He Jian. Simulation of Intelligent Recognition of Disorderly Targets for Robots Based on Reinforcement Learning [J]. Computer Simulation, 2023(10):440-444.
[3] Yin Bangzheng, Tang Yangbo, Shan Ziqi. A Subway Disinfection and Killing Robot Based on Deep Learning [J]. Computer Knowledge and Technology, 2023(30):28-30.
[4] Zhu Xuehai, Zhang Shuai, Zhang Dongxing, et al. Research and Application of Intelligent Recognition Technology for Ship Water Gauge Based on Machine Vision and Deep Learning [J]. Journal of Inspection and Quarantine, 2019, 29(2):5. DOI: CNKI: SUN:XDSJ.0.2019-02-026.
[5] Wang Dongmei, Wang Liang, Sun Wenran, Qi Chao, Shen Jianlong. Intelligent Recognition Technology for Ship Equipment Information Based on Deep Learning [J]. Shipbuilding Technology, 2022, 50(4):76-79.
[6] Zhang Peirong, Wang Hongjie, Fang Yuelong, et al. An Intelligent Robot with Improved Image Recognition Technology Based on Deep Learning: 201910513661 [P] [2024-02-27].
[7] Xia Kemei. Research on Intelligent Recognition Technology of Ship Components Encoding in Natural Scenes Based on Deep Learning [D]. Dalian University of Technology [2024-02-27].
[8] Song Chenyang. Research on Temporal Action Detection and Intelligent Recognition Technology of College Students' Behaviors Based on Deep Learning [J]. China Science and Technology Periodical Database Research, 2023.
[9] Guo Ling, Lu Liubing, Ji Jingwei, et al. Autonomous Navigation Control Method and System for Robots Based on Deep Learning: CN202011548451.0 [P]. CN112698653A [2024-02-27].
[10] Zhao Xin. Research on Visual Navigation Technology of Mobile Robots Based on Deep Learning [D]. University of Chinese Academy of Sciences [2024-02-27].
Research on Autonomous Navigation and Intelligent Recognition Technology of Ship Hull Cleaning Robots Based on Deep Learning
How to cite this paper: Linjun Fu. (2024) Research on Autonomous Navigation and Intelligent Recognition Technology of Ship Hull Cleaning Robots Based on Deep Learning. Advances in Computer and Communication, 5(1), 53-58.
DOI: http://dx.doi.org/10.26855/acc.2024.02.009