Application and development of artificial intelligence and computer technology in the field of intelligent robots

With the increasing demand for intelligent application equipment and intelligent management systems in society, artificial intelligence (AI) and computer technology have become the basis for promoting their sustainable development. These technologies not only provide important support for the development of intelligent robots, but also promote the widespread application of AI in various industries. In recent years, as a product of the “new industrial revolution”, intelligent robots have become an important force to promote the rapid development of the economy and society, especially in the fields of automation, logistics and medical care, showing great potential. At present, the research on AI and computer technology has gradually become a hot spot in the development of global science and technology, and research results in related fields are emerging in an endless stream. However, although many companies and scientific research institutions have made significant progress in the integration of AI and computer technology, they still face many challenges in practical applications such as intelligent robot navigation and path planning.

In terms of improving the navigation accuracy and path planning efficiency of robots in complex environments, the research on intelligent robot technology based on FNN and GA provides theoretical basis and experimental support for promoting the widespread application of intelligent robot technology. In order to deeply explore the related topics of artificial intelligence, computer technology and the creation of intelligent robots, this study first examines the application of AI in the field of intelligent robots. Secondly, this paper adopts GA for intelligent robot path planning, and uses FNN technology to navigate the intelligent robot. Based on this framework, this study conducted a number of experiments to verify the effectiveness of the proposed model. Finally, the future development prospects of AI and computer technology in the field of intelligent robots are summarized.

The major contributions of this paper are as follows:

1) A method of intelligent robot navigation and path planning combining fuzzy neural network and genetic algorithm is proposed: This paper innovatively applies fuzzy neural network and genetic algorithm to the navigation and path planning of intelligent robots respectively. Through the fuzzy neural network algorithm, the navigation accuracy of the robot in a complex environment is improved. The experimental results show that the navigation accuracy has reached 98.64%. The genetic algorithm effectively optimizes the efficiency of path planning and ensures the shortest navigation time and highest planning efficiency of the robot in path planning. Through this method, the intelligent robot can perform efficient path planning and navigation in a dynamic and complex environment, thereby improving the overall performance of the system.

2)The experimental results verify the superiority and effectiveness of the algorithm: This study verifies the superiority of the intelligent robot navigation and path planning model based on fuzzy neural network and genetic algorithm through a series of experiments. The experimental results show that the path planning model based on genetic algorithm performs well in terms of efficiency and time, while the robot navigation based on fuzzy neural network has high accuracy and small error angle deviation. These results not only prove the feasibility of the proposed model in intelligent robot technology, but also provide strong support for the promotion and development of intelligent robots in practical applications.

Benefits of Artificial Intelligence in Business?

You’ve learned some of the general uses and benefits of AI in business. Here are seven more specific uses of AI that many businesses are already taking advantage of.

#1 – Improved Decision-Making

AI-enabled decision-making is faster and smarter because it can deliver the data business leaders need in real-time. If a marketer wants to know whether to continue a campaign, for example, AI can quickly show how the campaign has performed so far. However, AI may also indicate current market fluctuations and other factors that could impact campaign success. Marketing leaders can access these insights fast and make snap decisions with confidence — based on accurate data.

#2 – Increased Efficiency

By automating repetitive tasks, AI powers higher efficiency across a range of business processes. Data entry, for example, is time-consuming and not the best use of a skilled professional’s time. When done manually, it’s also prone to human error. AI-powered tools can receive notifications once data changes in one system and automatically update it in related systems.

Some AI-enabled systems can even scan handwritten documents and save the writing as text that can later be edited. This is a feature of some modern electronic health record (EHR) systems for healthcare firms. AI ensures that both digital and handwritten records are combined in one place for the benefit of the patient, healthcare providers, and insurers.

#3 – Enhanced Customer Experience

Customers expect businesses to be available 24/7, regardless of the nature of their queries. However, it’s not always possible to jump on every inquiry instantly. That’s where AI can help. Thanks to natural language processing (NLP) and natural language generation (NLG), chatbots and automated emails can handle many customer queries.

Brands can take customer service to the next level by replying to all social media comments in real time. AI can also promptly answer messages or emails and create a highly personalized experience by leveraging NLG.

#4 – Cost Reduction

One business process that requires high levels of attention is budget management. By speeding up business operations and reducing the need for human intervention, AI can help cut costs significantly. In manufacturing, for example, AI can streamline quality control procedures using pattern recognition among other techniques. A higher quality product with less wastage represents a major saving for many manufacturing facilities.

#5 – Risk Management

AI utilizes historical data to make predictions about the future. Risk management becomes simpler because AI can make recommendations that are only based on data with virtually no bias. AI can also assess much larger volumes of data than a human, ensuring all recommendations utilize information from multiple sources. Insurance is just one industry that benefits from this, with AI making recommendations about costs, claims, and client behaviors.

#6 – Innovation

Generative AI is excellent for brainstorming and creating new ideas that help innovators spark off each other. However, analytical AI can also be a creative force. An understanding of current and future trends that are powered by millions of gigabytes of data helps research and development (R&D) departments. With the right data, they can ensure that they create a perfect product-market fit for a truly competitive advantage.

#7 – Predictive Analytics

Predictive analytics is a branch of advanced analytics that uses historical data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. AI enhances predictive analytics by enabling the analysis of large datasets quickly and accurately, identifying complex patterns that human analysts might miss. This allows businesses to forecast trends, anticipate market changes, and make data-driven decisions with greater confidence.

Example: Consider a retail company using predictive analytics to manage inventory. By analyzing historical sales data, customer preferences, and external factors such as seasonal trends, AI can predict which products will be in high demand in the upcoming months. This enables the company to optimize stock levels, reducing both overstock and stockouts. As a result, the company can increase sales, improve customer satisfaction by always having the right products available, and reduce costs associated with excess inventory.

What’s the Future of AI for Businesses?

AI in business is constantly evolving. Scalable solutions will require imagination and innovation, with business leaders looking at how entire workflows can be reformulated using AI. Developers with AI experience will be in demand, especially those who understand the ways AI can drive business success.

Predicted trends for AI in business include:

• Increasingly human-like language generation: AI models will produce text virtually indistinguishable from human-written content, potentially enhancing customer service interactions, content creation, and report generation.
• Enhanced personalization: AI will drive increasingly sophisticated personalization for business marketing, tailoring content and campaigns to individual preferences and behaviors to improve customer experiences and conversion rates.
• Microtargeting via granular audience segmentation: AI-powered tools will empower marketers to create highly specific audience segments, enabling precise microtargeting and maximizing marketing ROI.
• Highly accurate and longer-range predictive analytics: AI will power more accurate predictive analytics, empowering businesses to forecast long-term trends, optimize supply chain logistics, manage inventories better, and improve overall financial planning.
• More roles that require AI-powered tools for increased efficiency: As AI becomes an essential aspect of business, more roles will require proficiency in these technologies, necessitating ongoing training and upskilling for effective utilization.

Keep Your Competitive Edge by Earning an AI Business Graduate Certificate

In today’s fast-paced market, it’s crucial to understand AI in business. But why settle for just understanding AI when you can master it and get ahead in your career? Our AI in Business Graduate Certificate goes beyond the basics, offering insights and practical experience that will set you apart in the business world. Learn from distinguished faculty and gain hands-on experience with state-of-the-art AI tools.

Don’t just keep up—lead the way. Enroll in the AI Business Graduate Certificate program at UC Online and secure your place at the forefront of business innovation. Master the art of developing and implementing AI-driven solutions to address complex business challenges and enhance productivity.

This entirely online program offers the flexibility of asynchronous learning, perfect for busy professionals. Study at your own pace with easy access to lectures, assignments, and learning materials whenever it fits your schedule.

Set yourself apart in the competitive business landscape. Contact TOS Online today and take the first step toward a future fueled by AI.