Artificial Robotics Research Articles

A Note on Robotics and Artificial Intelligence in Pharmacy

Abstract: Artificial intelligence and robotics are two of the hottest and most recent technologies to emerge from the world of science. There is tremendous potential for these technologies to solve a wide range of pharmaceutical problems, including the reduction of the enormous amounts of money and time invested in the drug discovery and development process, technical solutions related to the quality of drug products, and an increase in the demand for pharmaceuticals. Nanorobotics is a new subfield that has emerged from the field of robotics itself. This technique makes use of robots that are as small as nano- or micron-sized to diagnose diseases and deliver drugs to the targeted organ, tissue, or cell. These techniques, as well as their various applications in the pharmacy sector, are extensively discussed throughout this article. Internationally renowned pharmaceutical companies are collaborating with Artificial Intelligence behemoths in order to revolutionise the discovery and development process of potential drug molecules and to ensure the highest possible quality in their products.

Strategies for coping with frontier technologies and innovations in Africa

Recent advancements in Frontier Technologies and Innovations (FTI), including artificial intelligence, robotics, and biotechnology have shown significant and tremendous potentials for sustainable development globally. Despite this, Africa appears to be unprepared to equitably use or adopt these technological innovations. Evidence has shown that the ongoing global growth in FTI negatively impacts Africa with multifaceted inequalities ranging from poor global class, persistent poverty, disparities in income-earning opportunities, internet usage, pay gap, poor standards of education and health, etc., resulting majorly from poor adoption of technological innovations and favorable Information and Communication Technology (ICT) policies, culture, ethics, and values. Significant digital divides were evident between the technologically advanced countries and backward countries such as Africa during the COVID-19 pandemic because technological innovations have become critical tools for addressing the spread of the disease. This study highlights the strategy for coping with FTI for sustainable development in Africa. The Unified Theory of Acceptance and Use of Technology (UTAUT) was adopted as the study conceptual framework. UTAUT model claims that users' acceptance behavior toward technology is determined by users' decision to use technology and the perceived benefits thereof. The researchers explored a narrative review, analysis, and synthesis of vast works of literature that revealed significant information on strategies for coping with FTI in Africa. The researchers also conjointly extracted peer-reviewed articles among the last five years from electronic databases, engaging some keywords like "Frontier Technologies and Innovations in Africa' 'Coping with Frontier Technologies and Innovations' leveraging resources of Africa via Technology and Innovation", etc. Results show that global progress was associated with sharper inequality between countries, with widening disparities in FTI adoption, literacy level, and access to products, social services such as ICT infrastructure, electrification, education, and health. Results also show that literacy empowerment in Africa especially among women, on technology adoption, policies, culture, ethics, and values may advance sustainable goals, leverage their literacy abilities for FTI adoption, and close widening gaps and inequalities in global FTI.

Editorial

Editorial

A Study on Role of A.I. and Robotics in Health Care Sector: Its Impact and Contribution

Health Care is one of the major domain sectors of our country. As this domain has many different aspect of implementation, as per the current scenario of Diseases and health complications. This paper will discuss about how, the Artificial Intelligence (A.I.) and robotics can be beneficial and plays a major role on, health care domain with respect to the Efficiently Diagnose, Developing New Medicines, Earlier Detection of Diseases, Advance Treatment Care, A.I-Deep learning For the Critical Decision’s. As this Information will help to give more clarity on what, A.I. & Robotics contributes for the major Diseases Treatment by the advancement of Technology. This can be beneficial for not only Doctors, Patients, or Firm but can also be helpful for citizen people as well. The objective of this paper is to study the role of AI and Robotics in Healthcare Sector and its impact.

Regulatory Platforms in the Field of Legal Regulation of the Use of Artificial Intelligence

The paper is devoted to the problem of creating a flexible regulatory system that allows testing and limited use of artificial intelligence, guaranteeing the safety of the population and aimed at stimulating the development of artificial intelligence, robots and robotics objects. It is substantiated that the use of the regulatory platform is an effective mechanism for the development of a regulatory system in this area. The author determines and analyzes the essential components of the structure of the regulatory platform that include the regulation of information exchange, the introduction of mandatory conditions for participation, including the introduction of administrative and legal regimes for regulating economic activity, the regulation of monitoring the activities of the regulatory platform subject, a system for leveling risks for both subjects and participants of the regulatory platform, the formation of a mandatory system of protection against the negative consequences of the use of artificial intelligence, robots and robotics objects. The paper describes the main approaches to establishing civil liability for the use of artificial intelligence, robots and robotics objects that include: civil liability of the developer (creator) for the use of artificial intelligence, robot and robotics objects and the civil liability of the user ( owner, proprietor or person making a profit) for using artificial intelligence, robots and robotics objects.

Assessing the Legal Personality of Sexbots in the Light of Human Rights

Sexbots have been the subject of much prurient curiosity for all of the adult population. The scepticism about the extent of human interaction in the future has created ambiguity about the prospects of the flesh trade industry all over the world. The evolution of sexbots from animatronic models to sentient beings capable of decisionmaking ability would pose a fundamental question about their impact on human rights and the obstacles it would create for the people employed in this sector. The ethico-legal constraints about their replacements as sex workers for utilitarian purposes evaluate the boundaries of acceptable sexual practices. With the advent of artificial intelligence in robotics, these customizable simulacra capable of human affection explore the pragmatic question of their legal personality. This paper analyzes the intersectionality of artificial intelligence and robotics in the light of ethical limits and legal implications on human rights. It imposes a duty on humans to address the permissible limits of customizability and the sufficiency of the existing legal framework to minimize the sufferings of these sentient beings. The complexities involved in the controversial facet of human-robot relationship entail us to gauge upon the jurisprudential aspects of the rights and legal personality of these robots.

Undertaking Research with Humans within Artificial Intelligence and Robotics: Multimodal Elderly Care Systems

Artificial Intelligence (AI) has become widespread in recent years and made tremendous progress thanks to automated learning and optimization. This paper outlines research methods within human-centered AI and robotics utilized in the Multimodal Elderly Care Systems (MECS 2021) research project. The project’s main research question asked how human activities and states can best be monitored by a mobile robot. A primary result is that sensors can be both effective and preferable while addressing increasing privacy concerns. Another result is that the user’s age impacts the preferred speed and distance for human/robot interaction. Research ethical considerations are also important for AI research and are presented in this paper.

Call for Papers: Artificial Intelligence and Robots for the Library and Information Professions

Call for Papers: Artificial Intelligence and Robots for the Library and Information Professions

Optimierung unter der technologischen Bedingung von Künstlicher Intelligenz und Robotik

Abstract Optimization under the Technological Condition of Artificial Intelligence and Robotics In this paper, the anthropological development of an understanding of technology is derived as a condition of the socio-historical significance of optimization. The technology deficit of education in the digital transformation is problematized. Optimization under the technological condition of robotics is deepened regarding the human-animal relationship. Finally, the need for an accelerated focus on the phenomena of optimization under the technological condition of artificial intelligence and robotics is referred to.

Light‐Driven Self‐Oscillating Behavior of Liquid‐Crystalline Networks Triggered by Dynamic Isomerization of Molecular Motors

AbstractThe self‐sustainable dynamic movement of soft actuators represents a continuous motion upon constant stimulus to achieve its great potential in emerging photoresponsive applications from self‐propelling machines, artificial robots to advanced biomimetic devices. Conversion of dynamic isomerization of molecular motors and switches into macroscopic self‐oscillation of soft materials is highly attractive but challenging. In this study, an overcrowded alkene motor with trifunctional acrylate groups is designed and synthesized, and its photoisomerization can be achieved in the liquid‐crystalline networks. Furthermore, the photodynamic storage modulus can be mainly modulated by the dynamic stable–unstable isomerization of the molecular motor upon UV exposure. Thus, the light‐driven self‐oscillating behavior from chaotic to regular movement can be performed based on the photodynamic mechanical balance of the micro‐oscillating modulus of the polymer network triggered by the dynamic reconfiguration of the motor. The results pave the way for inspirations in the development of advanced photoactive functional architectures and biomimetic actuators.

A Book Review of The Ethical Algorithm: The Science of Socially Aware Algorithm Design by Kearns and Roth; and Thoughts for Legal Information Professionals

AbstractThis article consists of two parts. The first part is a review of the book entitled, ‘The Ethical Algorithm: The Science of Socially Aware Algorithm Design’, written by Professors Michael Kearns and Aaron Roth of the Computer and Information Science Department, University of Pennsylvania. The book was published in 2019 by Oxford University Press. The second part consists of thoughts learned from the book and how they could be applied to the work of legal information management professionals when facing tasks related to the ethical algorithms in artificial intelligence (AI) and robotics. How online privacy continues to be the main concern in the AI and robot era will be discussed, as well as the rise of concerns over AI and robots and how they might make unfair decisions toward vulnerable populations which could then become acts of discrimination. Examples of real-world problems of AI and robotics are also noted in this article.

Искусственный интеллект для безопасного технического обслуживания, эксплуатации и технологии ремонта устройств электроснабжения ОАО «РЖД»

Automation of the technological processes is rapidly improving with the emergence and development of the artificial intelligence. More complex applications and platforms are being developed to better analyze the production process. Artificial intelligence and robotics are becoming efficient and priority tools for removing employees from the hazardous areas, minimizing the influence of the human factor, preventing, and predicting industrial injuries, automating production, improving labor productivity and quality of work. Artificial intelligence tools used in the world practice and wearable protective devices that serve to minimize industrial injuries and increase labor productivity are considered. The analysis of statistical data on injuries to the personnel of JSC «Russian Railways» during maintenance, operation and repair of power supply devices is presented. Further development and implementation of the artificial intelligence, the latest methods, and technical means of protecting railway personnel from electric shock injury is becoming an urgent task. The article considers video surveillance system «DOZOR» used in the RZD holding, which contributes to strengthening labor and technological discipline at production facilities, enhancing occupational safety, improving the quality of work- places preparation, and performing technological operations. It also allows you to assess professional competence and identify gaps in the theoretical and practical knowledge of the employees. It is proposed to introduce a computer vision device into «DOZOR» video surveillance system, which will ensure compliance with the requirements of the occupational safety rules and regulations in real time. It will also make it possible to promptly inform the employee and his managers about all the violations at a particular workplace for taking timely measures on preventing accidents and injury to the personnel.

THE CONCEPT OF "CREATOR" IN ACCORDANCE WITH THE LEGISLATION OF THE REPUBLIC OF AZERBAIJAN

One of the realities of modern times is the evolution of new technologies around the world, as well as the use of artificial intelligence (AI) and robotics in different spheres of society. Artificial intelligence, which was founded in the middle of the last century, has been one of the most invested in and interesting fields in recent times. Recently one of the most discussed and important issues is the relationship between artificial intelligence (AI) and intellectual property rights (IPR). Thus, the ownership of works created by artificial intelligence is one of the most discussed issues. In recent years, on the initiative of President Ilham Aliyev, modern achievements of world science have been applied in the life of society in the Republic of Azerbaijan. Considering all of this, the significance and urgency of the situation are clear. In other words, this is an issue that is high on both our national and international agendas. Key words: Artificial intelligence technology, creative activity, concept of "author", “work made for hire” doctrine,computer-generated works

Futurological fodder: on communicating the relationship between artificial intelligence, robotics, and employment

ABSTRACT This article examines the debate concerning the employment implications of the so-called ‘Fourth Industrial Revolution’ (FIR) or the increasing presence of artificial intelligence and robotics in workplaces. I analyze three ‘genres’ associated with this debate (academic studies including neo-classical and heterodox/post-human approaches, the ‘gray literature’, and popular media) and I argue that together they represent ‘futurological fodder’ or discourses and knowledges that ‘perform’ the FIR and its purported consequences. I contend further that these genres involve a complex mix of ethics and politics, and I conclude with a reflection on the political implications of the FIR debate.

The internet is leading the world towards forms of totalitarianism: How to fix the problem

It is difficult to imagine intelligence studies as separate from information technology as we enter thethird decade of the 21st century. The current issue of JISIB bears witness to this integration with a strongfocus on big data applications.Hardly anyone today would or could do without the internet, but the project that started with USgovernment financing in the 1960s, with packet switching, and in the 1970s with ARPANET and sawcommercial light in the 1990s is helping countries turn into totalitarian systems where totalitarianism isdefined by a high degree of control over public and private life.Public life is influenced by hacking, troll factories, fake news/propaganda, and interference inelections. Private life is influenced by massive surveillance. To borrow the title of the book by Zuboff(2019) we now live in “the age of surveillance capitalism”. Business intelligence systems lie at the heartof this transformation, but so do artificial intelligence and robotics. And the trend is global.In the West the suppressors are mostly private monopolies (e.g. Google, Facebook), while in the Eastit is primarily the government that is snooping (e.g. China’s Social Credit System). Face recognition islikely to become as popular in the West as it is in the East. It is also easily forgotten that no city wasbetter surveilled than London, which started to build its CCTV technology in the 1960s. The system isnow being updated with facial recognition, just like the one we are criticizing the Chinese for having.Some forms of surveillance may also lead to great advances in our societies, like access to governmentforms and statements electronically and a non-anonymous Central Bank Digital Currency (CBDC), whichpromises to reduce corruption and tax fraud, and could be used for easy distribution of universal basicincome (UBI) . Fintech promises to be highly disruptive.We are moving into an Orwellian world of surveillance more or less voluntarily, often applauding it.“I have nothing to hide” the young man says, but then he later becomes a minister and starts to worryabout the traces he has left on keyboards. The Five Eyes intelligence alliance, or any other major service,can pull out extensive analyses of behavior and personality on most of us now as we continue to exchangeour personal data for access to searches and social media, but also subscription-based services. MostChinese think that the social credit system is a good thing. This is for much of the same reason: theybelieve it will not be used against them and think that they will do well. We all tend to be overoptimisticabout our abilities and opportunities. It’s not before we fail that the full implications of the system arefelt: lack of access, credit, housing, and no more preferential treatments. The result threatens to worsenthe lack of social mobility and increase the growing conflict between the super-rich and those hundredsof millions who risk slipping from the middle class to being counted among the poor, many of whom livein the Western world.

The effect of anime character\u2019s facial expressions and eye blinking on donation behavior

Studies of the use of artificial agents and robots to solicit donations from people have suggested that the design of the agents must consider facial expressions. However, there has not been sufficient evidence to generalize the finding that the emotions conveyed by agents’ facial expressions can induce donations. In the present study, we conducted an experiment with an animated character that has intermediate realism and a different appearance from those in previous studies to replicate the finding that facial expressions represented by changes in the shapes of the eyes and mouth cause people to become more prosocial and to test whether we can extend this finding to the emotional expressions presented by changes in the dynamic properties of eyes. In the experiment, participants (n=100) played a hypothetical dictator game with an avatar that expressed its emotions by changing the shapes of its eyes, eyebrows and mouth and by changing the frequency of eye blinking. The results showed that the emotions expressed by changes in the shape of the facial parts contributed to eliciting a higher donation amount, consistent with previous studies. However, we could not find an additive effect of the emotional expression shown by eye blinking. The results suggest that, regardless of appearance, emotional expression is useful in the design of a virtual agent’s face, but it might not be necessary to consider the dynamic properties of the eyes.

Covid, AI, and Robotics-A Neurologist's Perspective.

Two of the major revolutions of this century are the Artificial Intelligence and Robotics. These technologies are penetrating through all disciplines and faculties at a very rapid pace. The application of these technologies in medicine, specifically in the context of Covid 19 is paramount. This article briefly reviews the commonly applied protocols in the Health Care System and provides a perspective in improving the efficiency and effectiveness of the current system. This article is not meant to provide a literature review of the current technology but rather provides a personal perspective of the author regarding what could happen in the ideal situation.

Wankelmut: A Simple Benchmark for the Evolvability of Behavioral Complexity

In evolutionary robotics, an encoding of the control software that maps sensor data (input) to motor control values (output) is shaped by stochastic optimization methods to complete a predefined task. This approach is assumed to be beneficial compared to standard methods of controller design in those cases where no a priori model is available that could help to optimize performance. For robots that have to operate in unpredictable environments as well, an evolutionary robotics approach is favorable. We present here a simple-to-implement, but hard-to-pass benchmark to allow for quantifying the “evolvability” of such evolving robot control software towards increasing behavioral complexity. We demonstrate that such a model-free approach is not a free lunch, as already simple tasks can be unsolvable barriers for fully open-ended uninformed evolutionary computation techniques. We propose the “Wankelmut” task as an objective for an evolutionary approach that starts from scratch without pre-shaped controller software or any other informed approach that would force the behavior to be evolved in a desired way. Our main claim is that “Wankelmut” represents the simplest set of problems that makes plain-vanilla evolutionary computation fail. We demonstrate this by a series of simple standard evolutionary approaches using different fitness functions and standard artificial neural networks, as well as continuous-time recurrent neural networks. All our tested approaches failed. From our observations, we conclude that other evolutionary approaches will also fail if they do not per se favor or enforce the modularity of the evolved structures and if they do not freeze or protect already evolved functionalities from being destroyed again in the later evolutionary process. However, such a protection would require a priori knowledge of the solution of the task and contradict the “no a priori model” approach that is often claimed in evolutionary computation. Thus, we propose a hard-to-pass benchmark in order to make a strong statement for self-complexifying and generative approaches in evolutionary computation in general and in evolutionary robotics specifically. We anticipate that defining such a benchmark by seeking the simplest task that causes the evolutionary process to fail can be a valuable benchmark for promoting future development in the fields of artificial intelligence, evolutionary robotics, and artificial life.

Effects of country and individual factors on public acceptance of artificial intelligence and robotics technologies: a multilevel SEM analysis of 28-country survey data

ABSTRACT Using data from 28 European countries, this study examines factors influencing public attitude towards the use of AI/Robot. Its multilevel SEM analysis finds that several factors at the individual level including Perceived threat of job loss and Digital technology efficacy predict public Acceptance of AI/Robot. Although country-level factors such as economic development, government effectiveness and innovation do not directly influence public acceptance of AI/Robot, they do have significant effects on Perceived threat of general job loss due to AI/Robot, and Digital technology efficacy. Findings indicate that these nationally macro variables influence people’s perceptions of AI and robotics technologies and their confidence in their digital skills. This research enriches the application of the Technology Acceptance Model by using predictive variables at two levels: individual and country. Furthermore, at the individual level, this study uses two variables (e.g. Perceived threat of job loss and Digital technology efficacy) that are unconventional to TAM, thus contributing to this theoretical model.

Attribution of autonomy and its role in robotic language acquisition

The false attribution of autonomy and related concepts to artificial agents that lack the attributed levels of the respective characteristic is problematic in many ways. In this article, we contrast this view with a positive viewpoint that emphasizes the potential role of such false attributions in the context of robotic language acquisition. By adding emotional displays and congruent body behaviors to a child-like humanoid robot’s behavioral repertoire, we were able to bring naïve human tutors to engage in so called intent interpretations. In developmental psychology, intent interpretations can be hypothesized to play a central role in the acquisition of emotion, volition, and similar autonomy-related words. The aforementioned experiments originally targeted the acquisition of linguistic negation. However, participants produced other affect- and motivation-related words with high frequencies too and, as a consequence, these entered the robot’s active vocabulary. We will analyze participants’ non-negative emotional and volitional speech and contrast it with participants’ speech in a non-affective baseline scenario. Implications of these findings for robotic language acquisition in particular and artificial intelligence and robotics more generally will also be discussed.