How will advances in artificial intelligence and machine learning change robotics in 2023?
The robot industry has become one of the important pillar industries of the global economy. The IFR agency predicts that the global robot market will reach 51.3 billion US dollars in 2022. From the perspective of market structure, the global robot industry is mainly composed of industrial robots, service robots and special robots. Composition, then as the world relies more and more on robotics, artificial intelligence and machine learning advances, with the advancement of artificial intelligence, what impact will artificial intelligence robots have on the industry?
Gabriel Noury, product manager for robotics at Canonical, says robots will become more human. In 2023, community robots will develop rapidly. In terms of hardware, companies such as Sony have launched robots such as Poiq in 2022. In terms of software algorithms, with the support of natural language generation models such as GPT-3, robots can already implement dialogue systems. These new technologies will improve the interaction between robots and humans, allowing robots to answer any question while being more dynamic.
2023 will be the year of turnkey project solutions. Automation has taken leaps and bounds towards simplicity thanks to advances in robotics, machine learning, and component technology. This not only makes it easier than ever for companies to deploy automation, but it also enables robotic OEMs to build on existing technology. With the development of new applications and products, companies can better promote innovation through the combination of technologies, which also enables Ontology to move towards the core position of the robotics industry with the help of one-stop engineering. Manufacturers will turn to modular production. In the future, enterprises will need the most cost-effective, smaller, lighter, and easier-to-deploy robots. At the same time, robots will be required to have greater flexibility and adaptability to the environment. Robot manufacturers will pay more and more attention to weight and versatility, and can be reconfigured. The robot work cell is undoubtedly a well-balanced development solution.
Collaborative robots will also have higher payloads and longer arms. Manufacturers will pay more attention to the weight and flexibility of robots. For example, in the future, robots can loosen the base bolts and reposition them, or connect them to a mobile base with wheels. This will create new possibilities for robot applications and will promote comprehensive development. innovation.
The upward trend in the collaborative robot industry will resume in 2023. The global industry is still facing the challenges of labor and other issues, and the global industry is also in the transition to Industry 5.0. In Industry 5.0, people and robots will work together, which requires more people-oriented, sustainable development and flexible Automation products. Customers will be at the heart of enterprise product development. In 2023, more than ever, companies need to continue to innovate and maintain market adaptability in order to survive and expand. For this reason, robotics companies will increasingly involve customers in product development, or jointly develop specific solutions, which not only provides orders , will also provide robot companies with more valuable feedback.
Mobile robots as a whole may slow down in 2023, and the demand for autonomous mobile robots will increase. According to research firm Allied Market Research, mobile robots are expected to reach $12.4 billion by 2030, and AMR robots equipped with sensors, artificial intelligence and computer vision will remain highly sought after, but the industry as a whole will slow down after the outbreak. become inevitable. The European and American markets remained strong, and there were signs of improvement in Southeast Asia. In 2022, with the support of a number of policies, European robot technology invention patents have ushered in an explosion, which means that Europe is expected to become the next center of robot technology advancement, followed by the US robot market. As low-level manufacturing moves to countries with cheaper labor, Mordor Intelligence expects the adoption of robots to increase in Southeast Asia, with a compound annual growth rate of 10.7% expected between 2021 and 2026, Singapore, Thailand and Vietnam of robot deployments will accelerate. The robot-as-a-service trend is moving very fast. RaaS is a cloud-based "robot rental" system, and the global RaaS market is expected to grow by more than $2 billion by 2026, with a CAGR of 18.12% from 2021 to 2026. In this mode, it is easier for robot manufacturers to rent out robot equipment to end users who want to try robots in various industries, which means that a large amount of initial deployment investment and maintenance costs will be cut for enterprises. As a new thing in 2022, this business model enables many small companies and startups to quickly try to deploy automation in various industrial fields, and the RaaS model is expected to become a popular trend in 2023.
Data becomes an important driver of automation. Human beings have entered the era of big data, robotic automation technology is increasingly driven by data, and more and more emphasis is placed on the application of solutions based on real-world data. Some analysts in Europe say that a third of European companies are now prioritizing data-driven automation. At present, in the logistics supply chain, robots have been able to execute decisions based on real-time logistics data, which is a good practice for the value of automation and data.
Robot + Human > Robot. More and more companies realize that robots are not a replacement for human work, but a way to enhance the efficiency of human employees. As more industries face worrying skills and labor shortages, robots are becoming necessary to fill the growing gap, but about 35% of companies expect robotics to be used in conjunction with other technologies to augment human capabilities and address Labor shortage problem.
The use of collaborative robots will continue to rise. Collaborative robots have become an important part of the robotics sector over the past decade and are expected to account for 30% of the total robotics market by 2027. Collaborative robots are designed to work safely alongside humans and are inherently easier to use. This makes them ideal for companies with no previous robotics experience and the space or resources to accommodate larger industrial robots that require additional safety fencing.
The age of autonomous mobile robots is upon us. Global e-commerce is recovering and autonomous mobile robots are entering more industries. Logistics in particular remains the “sweet spot” for robotics, and many companies are now adopting mobile robots to improve their logistics operations in warehouses and other industrial environments efficiency.
Process shortages may hinder the progress of automation, and "robot-as-a-service" is the future. Barriers to entry into robotic automation are lowering, but deployments of robotic automation will be slowed by businesses lacking robotic programming skills due to a shortage of robotic crafting kits, making it impossible for robotics companies to develop robotic solutions that virtually anyone can deploy in the future become more important. In addition to the simplification of application packages, the "robot-as-a-service" business model has also been recognized by more and more companies, which means that the entire robot solution needs to be easier and easier to use.
The automotive industry lost its lead, and electronics assembly automation continued to grow. The transformation of traditional automobile factories is still in a period of hesitation. On the contrary, more and more electronics companies have discovered that compared with human workers engaged in the same work, robots can assemble electronic parts more consistently, which can undoubtedly save time and money. Reducing errors caused by manual assembly of products has led to a sharp increase in the demand for automation of electronic assembly. For example, many companies have started to use robots to lock screws, and this basic task is now helping to speed up the entire assembly process. This indicates that robotics has become more common and will enter more industries in the future. Robots are becoming more intelligent and adaptable. The latest robots developed by many companies can already implement machine learning functions and integrate the learned content into automated processes, so that they can quickly respond to changes in the environment and change operational steps in real time. With the rise of practical artificial intelligence algorithms, we can expect to see more advanced and complex robots in the future.
Robots go smart with machine learning. As artificial intelligence is incorporated into robotics, more and more companies are adopting machine learning, dynamic modeling, reinforcement learning, machine vision, etc. so that robots can use real-time information to optimize tasks, real-time data and large data sets are also used to train robots More precise and efficient, robots are already able to sense their surroundings better and distinguish objects faster, while AI-powered robots are used in manufacturing to automate non-standard operations, including 3D printing, picking and arranging parts, and quality inspection , service robots can also use natural language processing (NLP) to improve customer experience in hotels and retail establishments. Autonomous mobile robots are rapidly being deployed. In the industrial field, in order to reduce long-term investment costs for start-ups, and for large enterprises to expand their scale, most of them will use AMR to automate industrial processes, such as monitoring inventory levels, automated material handling, heavy hauling, and long-distance transportation of components and parts. At the same time, in the field of service, AMR is also used for disinfection of hospitals and factories, for room service in the hotel industry, or for the delivery of food and other items in the catering industry. Robots are rapidly being used for last-mile express delivery (LMD) and contactless deliveries.
The Robotics-as-a-Service (RaaS) model is growing rapidly. The initial purchase and mid-term maintenance of robots requires money and a lot of effort. For small businesses, it means that robotics cannot be incorporated into their operations. However, RaaS provides a new business model. Using robots on demand allows companies to Scale your business in response to changing market conditions. In addition, based on cloud robot technology, robot service providers can quickly grasp the maintenance status of robots and improve the performance of real-time data.
Collaborative robots are rapidly deployed. Compared to standard industrial robots, cobots incorporate advanced sensors and algorithms to ensure safe behavior around people and minimize production downtime during integration. For human workers, these robots could be tasked with handling hazardous items such as heavy metals, polymers and other materials, or for automated assembly tasks such as welding parts and drilling holes for screws (EOAT).
New technologies accelerate integration with robots. For example, the use of 5G and high-performance computing (HPC) is improving the dynamic responsiveness of human-machine collaboration, and M2M and M2H communication between machines and humans promotes more effective human-machine collaboration. The Internet of Things (IoT) technology provides sensing, monitoring and tracking capabilities for robots, and edge computing platforms provide more power for robots by collecting and sending data to achieve feedback-driven workflows. Thanks to the latest advances in edge computing and the Internet of Things, robot manufacturers can use near-instant data to maximize task efficiency during manufacturing and maintenance.
Robot network security issues need to be taken seriously. Robotics can easily become a prime target for cyber-attacks due to the increased demand for data connectivity due to the integration of the Internet of Things. Additionally, as some robotics technologies are already rapidly deployed in the defense, manufacturing, healthcare, and aerospace industries, it is imperative to protect robotic solutions from unauthorized access. This has given birth to a new field, robotic cybersecurity solutions protecting endpoints and connectivity stack centers, a technology that helps businesses avoid data breaches and asset disruptions by allowing companies to instantly monitor device activity and quickly identify security issues, potentially preventing data breaches and asset disruptions. downtime and financial loss.
Humanoid robots are still a well-deserved hot spot. A growing number of companies, including Tesla, are trying to create humanoid robots for a range of uses in healthcare, education, entertainment and hospitality, where they can be used for tasks such as touchless cleaning and hospital delivery. In addition, they are used to visit the elderly and sick, receive visitors at the counter, and play a more human-like role.
The development trend of assistive robots is already evident. Assistive robots can improve people's independence and quality of life, which has many benefits for people with various disabilities. But the bottleneck is perception, processing and communicating with humans, which means complex algorithms and sensors. A number of companies are currently using algorithms to enhance the cognitive decision-making capabilities of robots to help the elderly, disabled, or physically unwell people perform their day-to-day duties (ADL). In addition, powered exoskeletons and other robot-assisted technologies are also developing rapidly as tools for patient rehabilitation. These wearable robotic devices can not only help the disabled to restore their mobility, but also promote ergonomics research. At the same time, some companies also use them Reducing worker fatigue or repetitive stress injuries in industry.
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