автор: Pulau777 21.02.2023 0 Комментарии

Artificial Intelligence and Robotics’ Impact on Our Technical Landscape

In this cluster, AI contributes to an accurate and more reliable augmented reality application, or interface, such as applying deep learning for detecting obstacles in the robot’s path. The authors in Corotan and Irgen-Gioro (2019) investigated the capabilities of augmented reality (ARCore) as an all in one solution for localization, indoor routing, and detecting obstacles. The application runs on a Google Pixel smartphone, which acts as both the controller (through a three-view user interface) and the sensor. Using its on-board localization features, an optimal path is planned from a starting position to an end position based on a Q-learning algorithm. Robots equipped with AI and machine learning algorithms can also detect potential dangers more quickly than humans and take the appropriate action.

Personal assistants, such as Siri and Alexa, help with searching for information, making orders and controlling devices in smart homes. The development of such assistants will obviously not stop, as consumer demand is growing. The first simple robots stepped onto the factory floor approximately half a century ago. Today, one can hardly imagine a manufacturing business without automatic lines, steel robotic arms and CNC industrial machines. Robots in the manufacturing industry have become the new normal, and they are making significant strides in improving various production processes. Scientists, industry experts and ordinary people all express various viewpoints about the potential outcomes of the active AI and robotics development.

«Exploring the Intersection of Artificial Intelligence and Electrical Engineering: How AI is Revolutionizing the Field»

This allows robots to operate autonomously, without the need for constant human supervision or intervention. Various AI and robotic systems support rehabilitation tasks such as monitoring, risk prevention, or treatment (23). For example, fall detection systems (24) use smart sensors placed within an environment or in a wearable device, and automatically alert medical staff, emergency services, or family members if assistance is required. AI allows these systems to learn the normal behavioral patterns and characteristics of individuals over time. Moreover, systems can assess environmental risks, such as household lights that are off or proximity to fall hazards (e.g., stairwells). Physical systems can provide physical assistance (e.g., lifting items, opening doors), monitoring, and therapeutic social functions (25).

The person concerned may not be aware of having that
bias—they may even be honestly and explicitly opposed to a bias
they are found to have (e.g., through priming, cf. Graham and Lowery
2004). For each section within these themes, we provide a general explanation
of the ethical issues, outline existing positions
and arguments, then analyse how these play out with current
technologies and finally, what policy consequences
may be drawn. While a chatbot is not a robot in the traditional sense, the same kind of questions are frequently asked at brick and mortar stores that take the valuable time of human beings who are better used elsewhere. If a robot can be programmed to patrol a physical location, answering questions, helping customers, the savings will add up. Another kind of artificial intelligence that many people have encountered in their daily lives is the customer service artificial intelligence implementation known as a chatbot.

Four Wheeled Humanoid Second-Order Cascade Control of Holonomic Trajectories

As can be seen from the literature, artificial intelligence is a viable element supporting this notion for robotics applications. AR markers are widely used but are limited in dynamic environments and in cases of occlusions. However, progress in hardware and cloud computing is making AI more viable in such scenarios.

These technological advances hold great promise for revolutionizing manufacturing processes, enhancing efficiency, safety, and productivity. So, let’s explore what these advancements can mean for the emergence of new technologies in the robotics and manufacturing space. However, the integration of Artificial Intelligence (AI) is giving rise to a new era of manufacturing possibilities. Just like AI in inventory management at warehouses, Robotics at logistics and supply chain plays a crucial role in moving the items transported by the logistic companies.

Their advanced algorithms, sensors, and cameras incorporate experience in current operations, and use dashboards and visual displays to present information in real time so human drivers are able to make sense of ongoing traffic and vehicular conditions. And in the case of fully autonomous vehicles, advanced systems can completely control the car or truck, and make all the navigational decisions. The rapid advancement of technology in recent years has led to the development of increasingly sophisticated robots. These machines are now capable of performing tasks that were once thought to be the exclusive domain of humans. One of the key factors driving this revolution in robotics is the integration of artificial intelligence (AI) into their design and operation. By incorporating AI, robots are becoming smarter, more adaptable, and more capable of interacting with their environment and the people around them.

An example is the ecoRobotix, a robot that can be employed in farms to get rid of weeds. It is solar-powered and uses an advanced camera system to target and spray weeds. Another example is the use of AI robots for tasks like fruit and vegetable harvesting, pesticide application, and plant health monitoring.

Robotics in Healthcare

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