Implementation of Soft Skills for Humanoid Robots Using Artificial Intelligence

2022 ◽  
pp. 257-272
Author(s):  
Saira Banu Atham ◽  
Rakesh Ahuja ◽  
Mohammed Farooq Abdullah
Keyword(s):  
Artificial Intelligence ◽  
Soft Skills ◽  
Humanoid Robots

scholarly journals eLene4Life: Active Learning for Soft Skills – University-Corporate Connections and Cross-Fertilisation

2019 ◽  
pp. 405-413
Author(s):  
Deborah Arnold ◽  
Mirela Mazalu ◽  
Matteo Uggeri
Keyword(s):  
Artificial Intelligence ◽  
Active Learning ◽  
Soft Skills ◽  
Corporate Training ◽  
World Economic Forum ◽  
World Economic ◽  
Key Competences ◽  
Work Done ◽  
Initial Results

According to the 2018 World Economic Forum Report “Towards a Reskilling Revolution: A Future of Jobs for All”, the rise of artificial intelligence, robotics and other digital developments is upending the primacy of human expertise in the economy. The individuals who will succeed in the economy of the future will be those who can complement the work done by mechanical or algorithmic technologies, and “work with the machines”. The 2018 European Commission Proposal on Key Competences also draws attention to these disruptions affecting European societies and economies, stating that “Skills such as creativity, critical thinking, taking initiative and problem solving play an important role in coping with complexity and change in today’s society.”In a previous Erasmus+ project, eLene4work, the development of HE students’ (digital) soft skills was experimented through the use of MOOCs and OERs. The results showed that, while autonomous learning indeed played a significant role, real impact would only come from fully integrating these into the curriculum. The project also found a mismatch between employers’ expectations and students’ perceptions of the labour market with respect to these soft skills.This paper reports specifically on the initial results of the follow-up Erasmus+ project, eLene4Life: Learning and Interacting to Foster Employability, in the form of a combined foresight analysis exploring how soft skills are and can be developed through active learning in both Higher Education and corporate training. It also highlights the potential for cross-fertilisation of these approaches in both directions and lays the ground for future actions, connections and collaborations.

scholarly journals Social Challenges in a Human-robot Relationship

ICR Journal ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 153-156
Author(s):  
Shahino Mah Abdullah
Keyword(s):  
Artificial Intelligence ◽  
Human Rights ◽  
Humanoid Robots ◽  
Human Society ◽  
Social Challenges ◽  
Intelligent Robots ◽  
The Status ◽  
Recent Developments ◽  
Special Rights ◽  
And Robotics

Recent developments in Artificial Intelligence (AI) and robotics have further improved the ability of humanoid robots to engage with humans. The increase in their ability and value has led to several initiatives to proffer special rights to such intelligent robots as a means of protection. These efforts have, at the same time, raised questions about the possibility of robots being a part of human society, if not our equals. Confusion primarily revolves around the status of intelligent robots, whether they are property or have other special statuses that may resemble human rights.

scholarly journals Interaction Between Consumers and Emerging forms of Artificial Intelligence: A Discriminant Analysis

2020 ◽  
Vol 30 (2) ◽  
pp. 1-12
Author(s):  
Corina Pelău ◽  
Irina Ene
Keyword(s):  
Artificial Intelligence ◽  
Discriminant Analysis ◽  
Humanoid Robots ◽  
Human Interaction ◽  
The Other ◽  
Robot Interaction ◽  
Other Hand ◽  
Different Types ◽  
Artificial Intelligence Systems

AbstractThe interaction between consumers and companies has been changed because of the development and implementation of artificial intelligence. On one hand, the implementation of artificial intelligence systems increases the efficiency and rapidity of certain processes, by making the life of consumers and companies easier. On the other hand, their implementation brings certain challenges because of the changes it involves, including the acceptance of artificial intelligence systems by the consumers, the ability to learn how to operate the robots as well as the protection of the information gathered by these systems. In this paper, we aim to measure the acceptance of consumers regarding different forms of artificial intelligence systems. By applying a discriminant analysis, we measure the preference of consumers towards human versus robot interaction as well as between different types of robots with different forms and degrees of anthropomorphic characteristics. The results show that consumers prefer human interaction to the interaction with robots, especially in cases where they are not familiar with the robot interaction. Besides, they prefer the communication to classic robots in comparison to human holograms and they have a certain curiosity towards humanoid robots in opposition to classic robots.

scholarly journals Artificial intelligence in fiction: between narratives and metaphors

AI & Society ◽  
2021 ◽  
Author(s):  
Isabella Hermann
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Real World ◽  
Science Communication ◽  
Humanoid Robots ◽  
Human Condition ◽  
The Other ◽  
Political Issues ◽  
Technological Limitations ◽  
Current Potential

AbstractScience-fiction (SF) has become a reference point in the discourse on the ethics and risks surrounding artificial intelligence (AI). Thus, AI in SF—science-fictional AI—is considered part of a larger corpus of ‘AI narratives’ that are analysed as shaping the fears and hopes of the technology. SF, however, is not a foresight or technology assessment, but tells dramas for a human audience. To make the drama work, AI is often portrayed as human-like or autonomous, regardless of the actual technological limitations. Taking science-fictional AI too literally, and even applying it to science communication, paints a distorted image of the technology's current potential and distracts from the real-world implications and risks of AI. These risks are not about humanoid robots or conscious machines, but about the scoring, nudging, discrimination, exploitation, and surveillance of humans by AI technologies through governments and corporations. AI in SF, on the other hand, is a trope as part of a genre-specific mega-text that is better understood as a dramatic means and metaphor to reflect on the human condition and socio-political issues beyond technology.

Embodiment and Gender

2017 ◽  
Author(s):  
Jennifer Robertson
Keyword(s):  
Artificial Intelligence ◽  
Humanoid Robots ◽  
Advanced Technology ◽  
Social Progress ◽  
Family Structures ◽  
Situational Influences ◽  
Learned Behaviors ◽  
Femininity And Masculinity ◽  
And Gender ◽  
Individual Choices

In humans and humanoid robots alike, gender—femininity and masculinity—constitutes an array of learned behaviors that are cosmetically and sartorially enabled and enhanced. In humans, these behaviors are both socially and historically shaped, but they are also contingent upon many situational influences, including individual choices. Chapter 4 explores the gender dynamics informing the design and embodiment of artificial intelligence (AI) and robots, especially humanoids. It is argued that advanced technology does not necessarily promote social progress but rather, as in this case, is deployed to reinforce conservative models of gender roles and family structures.

The Pransky interview: Dr Aaron Edsinger, CEO and cofounder at Hello Robot Inc

2018 ◽  
Vol 45 (6) ◽  
pp. 710-714
Author(s):  
Joanne Pransky
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
San Francisco ◽  
Systems Engineering ◽  
Industrial Robot ◽  
Humanoid Robots ◽  
Massachusetts Institute Of Technology ◽  
Content Type ◽  
Institute Of Technology ◽  
Artificial Intelligence Laboratory

Purpose The purpose of this paper is to present a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD-turned entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market. Design/methodology/approach The interviewee is Dr Aaron Edsinger, a proven entrepreneur and inventor in the field of human-collaborative robotics. Dr Edsinger shares his journey that led him from developing humanoids at Rodney Brooks’ Computer Science and Artificial Intelligence Laboratory at MIT, to cofounding four companies, two of which got purchased by Google. Findings Dr Edsinger received a BS degree in Computer Systems Engineering from Stanford, an MS in Computer Science from the Massachusetts Institute of Technology (MIT) and a PhD in Computer Science from MIT and did post-doctorate research in the Humanoid Robotics Group at the MIT Computer Science and Artificial Intelligence Lab. He co-founded his first company Meka Robotics in 2007 and that same year, he started his second company, HStar Technologies. In 2011, he cofounded Redwood Robotics, and in 2013, he sold Meka and Redwood to Google. From 2013 to 2017, he was a Robotics Director at Google. In August of 2017, he cofounded Hello Robot Inc. Originality/value Dr Edsinger’s work in robotics grew out of the San Francisco robotic art scene in the 1990s. Since then, he has collaborated and built over a dozen research and artistic robot platforms and has been granted 28 patents. His world-class robotic systems encompass Dr Edsinger’s innovative research in dexterous manipulation in unstructured environments, force controlled compliant actuation, human safe robotics, integrated mechatronic engineering and the design of humanoid robots. Domo, the humanoid robot he built, was named one of Time magazine’s Best Inventions of the Year for 2007. Out of the eight robot companies Google purchased in 2013, two were cofounded by Dr Edsinger. In 2017, Dr Edsinger left Google to cofound his new company, Hello Robot Inc, a stealth mode consumer robot company.

scholarly journals Artificial intelligence and soft skills in radiation oncology: Data versus wisdom

2020 ◽  
Vol 51 (4) ◽  
pp. S114-S115
Author(s):  
Ian S. Boon ◽  
Jean S. Lim ◽  
Moi H. Yap ◽  
Tracy P.T. Au Yong ◽  
Cheng S. Boon
Keyword(s):  
Artificial Intelligence ◽  
Radiation Oncology ◽  
Soft Skills

scholarly journals A review of mobile robots: Concepts, methods, theoretical framework, and applications

2019 ◽  
Vol 16 (2) ◽  
pp. 172988141983959 ◽  
Author(s):  
Francisco Rubio ◽  
Francisco Valero ◽  
Carlos Llopis-Albert
Keyword(s):  
Artificial Intelligence ◽  
Mobile Robots ◽  
Robot Vision ◽  
Autonomous Driving ◽  
Humanoid Robots ◽  
Human Robot Interaction ◽  
Service Robotics ◽  
Wheeled Mobile Robots ◽  
Robot Interaction ◽  
Human Robot Interfaces

Humanoid robots, unmanned rovers, entertainment pets, drones, and so on are great examples of mobile robots. They can be distinguished from other robots by their ability to move autonomously, with enough intelligence to react and make decisions based on the perception they receive from the environment. Mobile robots must have some source of input data, some way of decoding that input, and a way of taking actions (including its own motion) to respond to a changing world. The need to sense and adapt to an unknown environment requires a powerful cognition system. Nowadays, there are mobile robots that can walk, run, jump, and so on like their biological counterparts. Several fields of robotics have arisen, such as wheeled mobile robots, legged robots, flying robots, robot vision, artificial intelligence, and so on, which involve different technological areas such as mechanics, electronics, and computer science. In this article, the world of mobile robots is explored including the new trends. These new trends are led by artificial intelligence, autonomous driving, network communication, cooperative work, nanorobotics, friendly human–robot interfaces, safe human–robot interaction, and emotion expression and perception. Furthermore, these news trends are applied to different fields such as medicine, health care, sports, ergonomics, industry, distribution of goods, and service robotics. These tendencies will keep going their evolution in the coming years.

scholarly journals Modelling User Preference for Embodied Artificial Intelligence and Appearance in Realistic Humanoid Robots

Informatics ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 28
Author(s):  
Carl Strathearn ◽  
Minhua Ma
Keyword(s):  
Artificial Intelligence ◽  
Test Group ◽  
The Elderly ◽  
Humanoid Robots ◽  
Human Robot Interaction ◽  
User Preference ◽  
Care For The Elderly ◽  
Skin Response ◽  
Human Likeness ◽  
And Gender

Realistic humanoid robots (RHRs) with embodied artificial intelligence (EAI) have numerous applications in society as the human face is the most natural interface for communication and the human body the most effective form for traversing the manmade areas of the planet. Thus, developing RHRs with high degrees of human-likeness provides a life-like vessel for humans to physically and naturally interact with technology in a manner insurmountable to any other form of non-biological human emulation. This study outlines a human–robot interaction (HRI) experiment employing two automated RHRs with a contrasting appearance and personality. The selective sample group employed in this study is composed of 20 individuals, categorised by age and gender for a diverse statistical analysis. Galvanic skin response, facial expression analysis, and AI analytics permitted cross-analysis of biometric and AI data with participant testimonies to reify the results. This study concludes that younger test subjects preferred HRI with a younger-looking RHR and the more senior age group with an older looking RHR. Moreover, the female test group preferred HRI with an RHR with a younger appearance and male subjects with an older looking RHR. This research is useful for modelling the appearance and personality of RHRs with EAI for specific jobs such as care for the elderly and social companions for the young, isolated, and vulnerable.

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