Artificial Intelligence & Robotics – Synthetic Brain in Action

IEEE Technology and Society Magazine, 2012

Robots are becoming an important part of the “new social technology” defined by Hirai [1], where finding a robot in any environment is becoming more common. While we are used to finding robots in different environments such as supermarkets, nurseries (e.g., robotic pets), hospitals (e.g., for surgery), or at home (e.g., vacuuming robots), the environment that still has the most robots is industry (e.g., the automotive industry). For that reason, many studies are required to find the appropriate mechanisms to integrate robots at all levels of our society. We must consider issues from many perspectives, such as history, literature, economics, culture, technological developments, electronics, computers, or industry. The conclusions obtained will help us achieve the most positive and beneficial integration of robots with humans.

2013

This paper overviews the basic principles and recent advances in the Artificial Intelligent robotics and the utilization of robots in nowadays life and the various compass. The aim of the paper is to introduce the basic concepts of artificial intelligent techniques and present a survey about robots. In first section we have a survey on the concept of artificial intelligence and intelligence life; also we introduce two important factors in artificial intelligence. In the next section, we have overview on the basic elements of artificial intelligence. Then, another important section in this paper is intelligent robots and the behavior based robotics. The use of robots in nowadays life is in the various domains. We introduce one of them that are rehabilitation robots.

Intelligence & Robotics, 2021

The concepts of “Robots” have been of interest to humans from historical times, initially with the desire to create “artificial slaves”. Since the technology was not developing to keep up with the “dreams”, initially, Robotics was primarily of entertainment value, relegated to plays, movies, stories, etc. The practical applications started in the late 1950s and the 1960s with the development of programmable devices for factories and assembly lines as flexible automation. However, since the expectations were not adequately realized, the general enthusiasm and funding for Robotics subsided to some extent. With subsequent research, developments, and curricular enhancement in Engineering and Computer Science and the resurgence of Artificial Intelligence, particularly machine learning, Robotics has found numerous practical applications today, in industry, medicine, household, the service sector, and the general society. Important developments and practical strides are being made, particularly in Soft Robotics, Mobile Robotics (Aerial - drones, Underwater, Ground-based - autonomous vehicles in particular), Swarm Robotics, Homecare, Surgery, Assistive Devices, and Active Prosthesis. This perspective paper starts with a brief history of Robotics while indicating some associated myths and unfair expectations. Next, it will outline key developments in the area. In particular, some important practical applications of Intelligent Robotics, as developed by groups worldwide, including the Industrial Automation Laboratory at the University of British Columbia, headed by the author, are indicated. Finally, some misconceptions and shortcomings concerning Intelligent Robotics are pointed out. The main shortcomings concern the mechanical capabilities and the nature of intelligence. The paper concludes by mentioning future trends and key opportunities available in Intelligent Robotics for both developed and developing counties.

Bioman, 2000

IJSES, 2025

With the rapid development of science and technology, intelligent robots have become an important part of the global strategic emerging industries. This paper mainly explores the key technologies of intelligent robots, analyzes the development status of intelligent robots, discusses the key technologies of intelligent robots such as perception, decision-making, control, and human-computer interaction, and puts forward suggestions for the development of intelligent robot technology.

Tecnura, 2010

Con el fin de consolidar la investigacion alrededor de herramientas basadas en inteligencia artificial, se plantea el diseno y la construccion de una plataforma robotica autonoma, de simple modelo matematico y con alta capacidad de procesamiento. El objetivo final del prototipo es evaluar estrategias autonomas de control, vision artificial, planeacion de rutas e inteligencia colectiva. Por tal razon, se doto al sistema con una FPGA como unidad central de control. Para facilitar el desarrollo de un modelo teorico y dar al sistema gran movilidad, se estructuro el prototipo sobre una plataforma diferencial con dos motores independientes acoplados a ruedas de desplazamiento y una tercera rueda omnidireccional de apoyo. La estructura mecanica fue disenada en acrilico (metacrilato), buscando resistencia mecanica, bajo peso, visualizacion de componentes y presentacion estetica. Para ubicacion espacial primaria, se doto el prototipo con sensores ultrasonicos de posicion codificados y coloca...

2019

The artificial intelligence of the robot is the digital double of intelligence of the person capable to training, retraining, self-realization and development of professional and behavioural creative innovative competences and skills. The robot represents a technological and program cognitive complex. The realization of artificial intelligence the robot is enabled on the basis of criterion of preferences of improvement of functional activity by realization of actions of function of usefulness and high-quality selection of extensive statistics of the accumulated professional and behavioural creative innovative competences and skills of the person. Transdectoral digital studies of human, nature, society and production communication enable the creation of digital twins of social services and production of products and the technological process of equipment operation. Digital dupes related to the service sector or production are created for intelligent process and equipment management. Intelligent production management with a digital twin optimizes its operation, increases productivity and competitiveness of products according to quality and price. Human digital twins provide services in the social sphere and in space. Training of digital twins in professional competences is carried out on the basis of communicative associative logic of technological thinking by cognitive methods. Cognitive psychology experts investigating the effectiveness of machine learning techniques offer a new approach that allows artificial intelligence and cognitive psychology to be combined. This approach provides pre-preparation of neural networks from accumulated data using existing behaviors. The approach combines existing scientific theories of human behavior with the flexibility of neural networks to make better decisions made by humans in space and in extreme situations. From a practical point of view, this makes it possible to more accurately determine the behavior of a human digital twin in space and in extreme situations. The spectroscopic sight of the robot perceives objects and objects of their range of frequencies. For training of the robot in recognition of objects and objects the frequency spectral technology of machine learning is used. The spectroscopic sight perceives a range of radiations of objects, and the artificial trained neural network distinguishes them on a range.

ATLANTIS PRESS - Advances in Intelligent Systems Research, 2025

Both positive and negative experiences are common in robotics. The twenty-first century has entered the era of robotics. The promise of fresh possibilities has long been associated with robots. In the modern world, robots are becoming more and more prevalent in many facets of society, including transportation, healthcare, construction, food production, and supply chain management. A significant technical achievement, modern robotics is now a significant component of science, ranging from medical research to other scientific domains. The robot is handling challenging and accurate duties with ease and without getting hurt. In the modern world, robots are increasingly serving as the main representation of human interaction. This article gives an overview of the dynamic intersection of artificial intelligence and robotics and how it impacts dynamics of society. We look at the new fields of management and economics study that look at the intricate impacts of these cutting-edge technology. We provide conclusions on the effects of automation, robotics, and artificial intelligence on organisational design and business strategy by utilising the many approaches used by scholars in this field. We advise organisational and strategy researchers to become more involved and attentive in these areas and identify promising avenues for future research endeavours.

Robots are a subset of "smart structures" -engineered constructs that can "think" and adapt to the environment. Robots can work even in environments not conducive to humans (e.g. areas with high levels of nuclear radiation). Intelligent robots will find a large range of applications in defence and nuclear industries, as also other scientific, technological, and commercial applications. Robotics is therefore a strategically important field of research. The question is: How smart or intelligent can the robots become? The answer is that perhaps there is no readily-conceivable upper limit. In fact, there is a strong section of opinion that, within the present century itself, robots will overtake humans in practically all aspects of mental and physical capability, and they will then evolve further at a rapid rate, with or without our help. Expert opinion is bound to be divided when we look too far into the future. Some scientists think that there is nothing much that we can do to control or prevent the inevitable and fast evolution of machine intelligence.

1999

An intelligent robot is a remarkably useful combination of a manipulator, sensors and controls. The use of these machines in factory automation can improve productivity, increase product quality and improve competitiveness. This paper presents a discussion of recent and future technical and economic trends.