Minds and Machines: A Dive into the Latest Frontiers of Robotics and AI Progress


The brains behind introducing robots and AI were purposely meant to improve and make our lives easier. AI and robotics are some of the most appreciated inventions/fields that have affected almost everything that we do today. Today, most organizations cannot do without robots because they not only make work easier but also give out quality work. The work of Artificial Intelligence is to give robots some clues on how to navigate, calculate, and sense their reactions and what they do, with the help of computer vision. Everything that a robot does mimics what a human does through machine learning. All the information on how to navigate, sense, picks something, talk; ask a question is done by a computer through programming and AI. Therefore, without AI, robots cannot fully faction and that is why they are combined to give out the best performance from the two. This research is built on the question of what are some of the recent progress of robotics and AI?


Open research question

This research report is going to analyse some recent progress in AI and robotics. Over the years, there have been some basic strictures on autonomous robots in some sectors or even on online operations. However, one of the major fundamental questions that have arisen over the years is how this structure can be implemented in most organisations. When robots act like an organization agent, they always present a sensing and acting device that they have been cooperating with thanks to AI (Huang and Rust, 2018). The transfer of data from sensors to actuators is managed by multiple different modules, and the description of how these modules interact establishes the agent's architecture. The earliest, purely deliberative designs see the robot as an agent with a high-level representation of the world and the actions that it may take. Perceptual data is processed to generate a world model, after which a planner selects the actions to be taken and the execution module carries them out. A sense-plan-act cycle is repeated in practice. The difficulty is that establishing a high-level world model and devising a strategy takes time, and hence, these techniques have proven insufficient for agents immersed in dynamic settings (Lui and Lamb, 2018).

Although there is no universally accepted definition of AI, it is commonly understood to mean "machines that respond to stimulus in ways that are commensurate with conventional human responses, given human cognition, judgment, and purpose. These software solutions, according to Edwards et al., (2019), make judgments that ordinarily demand a human skill and assist individuals to predict difficulties or deal with challenges as they arise. As a result, they act in a deliberate, intelligent, and adaptable manner. AI in robots uses algorithms to help the robots in making the decisions that a normal person can make. These kinds of algorithms use real-time data to decide (Naumov, 2019). They differ from passive machines, which can only respond in mechanical or pre-defined ways. They integrate information from many sources using sensors, digital data, or remote inputs, instantaneously evaluate the material, and act on the insights gained from that data.

Literature review

In the 1970s, robots were mainly used in factories for automated production and processing of goods and services. However, this led to much debate on the future of workers because robots were taking over the work that was supposed to be done by humans. Today, robotics is not only used in factories and industries but they have been incorporated and are used complexly in the outside world. They have been programmed to carry out similar activities that normal human beings do, such as driving a car, making love, caring for the sick and even killing people. They purposely automated the new robots that have been introduced into the world today for love and war. According to Bryndin, (2019), the car industry and the military are the powerful drivers behind the introduction and development of robotics in this information technology time. The care manufacturing industry took the lead in robotics automation when they introduced the first industrial robot and the concept of automated robotisation of care. The military, notably in the United States, has been at the forefront of artificial intelligence development, and computers and the Internet are now driving artificial intelligence (Dhanabalan and Sathish, 2018). Robots, in particular, make use of existing ICT infrastructure while assuming that these networks will continue to advance technologically. Robots have given the Internet "senses, hands, and feet." As a result, the new robot is rarely self-sufficient (Dhanabalan and Sathish, 2018). To comprehend the potential and impossibilities of modern robotics, it is necessary to recognize that robots are typically backed by a network of information technologies, such as the Internet, and are therefore frequently referred to as networked robots. The intrusion of privacy is a tough issue with robots and intelligent cameras (Calo, 2017). For safety, the government may monitor our everyday activities 24 hours a day, seven days a week.

However, despite this advancement, much has not been done in the education sector. Companies are not working towards introducing or making robots that can take care of online education. The military has made robots that can be sent to war to fight on their behalf. However, robots cannot be self-sufficient because they require people to constantly monitor their movements and instruct them on what to do. For example, much has not been done to allow robots to operate by them. For example, we should look forward to a world where a robot can be sent from the United States to negotiate a peace deal in Iraq or Somalia. If this can happen in the coming years, it will be considered a major advancement in AI and robotics globally.

Research approach

The research employs a systematic literature review to scan and understand the major advancements of robotics and AI since their inception in the world. Accessing the information through the literature was the only accurate way that the research could have gotten all the required information on AI and robotics (Naumov, 2019). The advancement of AI and robotics has helped in the improvement and advancement of the computer science education curriculum. The primary purpose of incorporating robots into computer science classrooms is to increase student learning. To evaluate the impact of robots, researchers should seek evidence of better learning on examinations and challenges. Even if such proof is not discovered, the argument for robots may still be strong if they increase student retention, attract more individuals to the field, and improve the classroom environment (Dhanabalan and Sathish, 2018). These objectives were not met in our experiment. People are no longer exposed to or carrying heavy metals or car engines in most organizations today, as large industries have robots that can be programmed to do the work (Naumov, 2019). Despite its negative influence on the job sector today, the production of goods and services is of top quality. In the next generation, we will solely depend on robots to do some major work both in our companies and at home. This is because, today, technology has introduced a robot that can wake you up and prepare a cup of coffee or tea for you as well.

The police domain is a key application in the worldwide spread of robotics. This component is being fuelled by advancements in the realm of military robotics. In the realm of police robots, the United States and Japan are well ahead of Europe. We may infer that the use of robotics in law enforcement is still in an experimental and exploratory phase (Naumov, 2019). Surveillance and explosive disarming are two critical applications. The police in most nations have several flying robots outfitted with smart cameras (Ogle and Lamb, 2019). Over the last decade, there has been a significant growth in using smart cameras in public places, which has been bolstered, particularly after 2001, by the police giving a larger emphasis to investigation and law enforcement. Despite their positive influence on the world, robots are likely to make humans lazy as they will depend so much on these machines to do all the work for them.

Personal investment

Being a computer science student is an indicator that is the only strength I need to look deep into this matter. I am very much interested in this topic because I would like to expect what the future is going to be like with AI and robots. My primary aim is to know whether introducing robots in today's world is to replace humans or purposely meant to assist. This is because all the attention is shifting towards building robots that can do everything that we do. Also, is there a plan to create robots that can leave on their own without the help of humans? To answer this question, I must continue digging deep into the matter, and that is why I am interested in this topic.

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Reference list

Brooks, R.A., 1986. Achieving Artificial Intelligence through Building Robots. MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB.

Bryndin, E., 2019. Robots with artificial intelligence and spectroscopic sight in hi-tech labor market. International Journal of Systems Science and Applied Mathematic, 4(3), pp.31-37.

Calo, R., 2017. Artificial Intelligence policy: a primer and roadmap. UCDL Rev., 51, p.399.

Dhanabalan, T. and Sathish, A., 2018. Transforming Indian industries through artificial intelligence and robotics in industry 4.0. International Journal of Mechanical Engineering and Technology, 9(10), pp.835-845.

Edwards, C., Edwards, A., Stoll, B., Lin, X. and Massey, N., 2019. Evaluations of an artificial intelligence instructor's voice: Social Identity Theory in human-robot interactions. Computers in Human Behavior, 90, pp.357-362.

Fiske, A., Henningsen, P. and Buyx, A., 2019. Your robot therapist will see you now: ethical implications of embodied artificial intelligence in psychiatry, psychology, and psychotherapy. Journal of medical Internet research, 21(5), p.e13216.

Huang, M.H. and Rust, R.T., 2018. Artificial intelligence in service. Journal of Service Research, 21(2), pp.155-172.

Lui, A. and Lamb, G.W., 2018. Artificial intelligence and augmented intelligence collaboration: regaining trust and confidence in the financial sector. Information & Communications Technology Law, 27(3), pp.267-283.

Naumov, N., 2019. The impact of robots, artificial intelligence, and service automation on service quality and service experience in hospitality. Emerald Publishing Limited.

Ogle, A. and Lamb, D., 2019. The role of robots, artificial intelligence, and service automation in events. In Robots, artificial intelligence, and service automation in travel, tourism and hospitality. Emerald Publishing Limited.

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