Рубрика: Robotics

Robot Journalists are in trend but can they produce unbiased news against artificial intelligence

Artificial intelligence appears to take the internet by storm these days. Artificial Intelligence has its significance in each and every industry, the journalism industry is not exceptional and Robot Journalists are in trend. AI technology is crucial as it enables human capabilities – understanding, reasoning, planning, communication, and perception – to be undertaken by software increasingly effectively, efficiently and at low cost.

The past few years have been an exciting period for artificial intelligence. We used to think of it as science fiction, yet today, AI has become an everyday component of life. Now news stories are being created by computer programs in automated journalism, also known as algorithmic journalism or robot journalism. Because of emerging artificial intelligence technologies, nowadays stories are generated automatically by computers rather than by human reporters and this has created importance for robot journalists. Robot journalists analyze, organize, and present data in a form that is understandable to humans. Typically, in robot journalism, an AI algorithm examines huge quantities of given data, chooses from a variety of pre-programmed article formats, organizes important points, and inserts information like names, places, amounts, rankings, statistics, and other numbers.

By using Natural Language Generation (NLG) methods some data is converted into news reports written in human language in robot journalism. Automated journalism or robot journalism is often viewed as a way to liberate journalists from regular reporting and give them more time to work on more difficult projects. Robot journalists can provide more efficiency and cost-cutting, easing some of the financial pressures that many news companies are under. Robot journalists, on the other hand, can be a threat to the authorship and quality of news, as well as to human journalists’ livelihoods.

Advantages of Robot Journalism:

Speed: Automatization in the journalism industry enables rapid publication of news stories – as source data becomes available, a story may be produced almost instantly. Robot journalists are designed to produce enormous amounts of data at a faster rate. According to the associated press, automation has boosted the number of profit reports received from consumers by more than tenfold. They also provide human journalists an ease to put more time into hard duties like investigative reporting and in-depth analysis of events if regular articles and activities are automated.

Cost: As more material can be generated in less time, automated journalism is less expensive. It also saves news companies money on labor. Reduced human input implies lower wages, salaries, paid time off, vacations, and employment insurance costs.

Free of errors: It is stated that robot journalists are less prone to faults since they do not commit blunders like misspellings or math errors. Or you can say, their accuracy is superior to that of human journalists.

Disadvantages of Robot Journalism:

Authorship: There is sometimes misunderstanding over who should be attributed as the author in an automated article. The research found that some participants assigned credit to the programmer, while others saw the news organization as the author, stressing the collaborative aspect of the work. There is no way for a reader to tell if an article was written by a robot or a person, which presents concerns about transparency, however, similar issues exist when human authors assign authorship to each other.

Quality and Trustworthiness: Concerns regarding the perceived trustworthiness of automated news are comparable to general concerns about news credibility. Beyond human review, there are now a plethora of algorithmic approaches for identifying machine-written articles. While some articles may still include flaws that are evident to a person, these automated identifiers may sometimes outperform human-written articles.

Employment: One of the main concerns about robot journalists is the loss of jobs in the journalism industry. When publications rely on artificial intelligence, it may affect human journalists.

Can Robot Journalists Produce Unbiased News Against AI

Really artificial intelligence has changed the way the journalism industry was before. It has created lots of good but there may be a case where journalists can produce biased news against AI. But only time can answer it.

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RPA (Robotic Process Automation): How Humans and Robots Can Collaborate.

Any size of business can greatly increase the productivity and consistency of its repetitive manual procedures by using robotic process automation (RPA) technologies. The effect RPA will have on the workforce is one of the most frequently voiced worries about it. Despite worries, RPA often does not replace human workers but rather empowers them to provide more meaningful contributions. Therefore, the equation is RPA + human, not RPA vs. human. Robotic process automation (RPA) is a type of business process automation technology based on artificial intelligence (AI)/digital workforce or metaphorical software robots (bots). Software robotics is another name for it. Using internal application programming interfaces (APIs) or specialized scripting languages, a software developer creates a list of actions to automate a process and connect with the back-end system in traditional workflow automation technologies. RPA systems, on the other hand, create the action list by observing the user carry out the task in the graphical user interface (GUI) of the program and then carry out the automation by repeating those actions directly in the GUI. In products that might not otherwise have APIs for this purpose, this can lessen the barrier to the usage of automation.

RPA tools and graphical user interface testing tools are very comparable in terms of technology. These technologies also automate user interactions with the GUI, frequently by mimicking a user’s demonstration actions. In contrast to these systems, RPA tools enable the handling of data in and between many applications. For instance, receiving an email containing an invoice, extracting the data, and then entering it into a bookkeeping system are just a few examples of how this is possible.

A software robot can be set up to support your workforce in a few different ways, with two main strategies:

1. Autonomous Automation

The tasks and decision trees are created by the employee, but once they are in place, the repetitive nature of the duties only necessitates human interaction when the process is altered. Strong controls and simple, repeated operations are ideal for unattended automation.

2. Attendant Automation

Within a command center, a worker (or team of workers, depending on the number of robots) oversees the daily, weekly, and monthly activities performed by the robots. The process flows and decision trees for the robot are created by humans. On a regular basis, the human delegated and prioritized duties, monitored processes for problems or improvements and escalated to the right party if human action was needed.

Workflow automation is a great fit for any repetitive task or business process because they are often created with rule-based components. But for analysis, approval, and control purposes, these kinds of candidates frequently still need some sort of human involvement or assessment. RPA can efficiently record and process online orders in conjunction with humans. The robot can efficiently assemble sales order data with 24/7 processing capabilities and report to the sales team for pricing and discount approval. Additionally, the robot can mark new clients for follow-up for “improved experiences”. Employees can start automatic order processing and invoicing chores for the robot to pick up and finish once the sales order has been evaluated and accepted. Numerous sectors can benefit from extrapolating from this straightforward example.

The caliber of the information and presentation are crucial in many situations. Investor reporting, for instance, in finance, must be perfect; anything less is bad for a brand. The same human will have several reports to prepare, even though they have an analytical eye and can examine investor accounts for odd behavior that could indicate an erroneous transaction. Once the figures are accurate, RPA technology can generate the crucial report; by applying identical formatting touches to each set of accounts, the company logo is never overlooked and a client’s name is never again typed incorrectly.

In the years to come, RPA will surely have a significant impact, but the workforce will also change to become more analytical, and more critical thinking, and to guarantee a better customer experience.

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How the Robo golfer is just making the human golfers look Inferior

Golf is a game of precision. It’s a sport that requires split-second timing and perfect execution in order to make a shot. And for those of us who are less than perfect, there’s always been the robot golfer. But what if the robot golfer was better than the human golfer? What if, one day, we woke up to find that a machine had finally out-golfed us? In this article, we will explore the rise of the robot golfer and how they are set to make human golfers look inferior. We will also discuss the implications of such technology on the future of golf and, potentially, other sports.

What is AI?

AI, or artificial intelligence, is a branch of computer science that deals with creating intelligent machines that can think and work like humans. AI research deals with the question of how to create computers that are capable of intelligent behavior.

In practical terms, AI applications can be deployed in a wide variety of domains including finance, healthcare, education, manufacturing, and logistics. Some of the most popular AI applications include expert systems, natural language processing (NLP), machine learning, and robotics.

What is a Robo-Golfer?

A Robo-Golfer is a robot that has been designed to play golf. It is able to hit the ball with great precision and accuracy, and can even put the ball into the hole. The Robo-Golfer is set to make human golfers look inferior, as it does not make any mistakes when playing the game.

How does the Robo-Golfer work?

The Robo-Golfer is a training aid that uses sensors and artificial intelligence to help golfers improve their game. It was developed by a team of engineers at the University of Edinburgh in Scotland.

The Robo-Golfer consists of a small, wheeled robot that follows the golf ball as it is hit. The sensors in the device track the ball’s trajectory and provide feedback to the user on their swing. The AI algorithms then analyze the data and provide recommendations on how to improve their swing.

The device is designed to be used during practice sessions so that golfers can get immediate feedback on their performance. The developers believe that it has the potential to make human golfers look inferior, as it can consistently outperform them.

So far, the Robo-Golfer has only been tested by a handful of people, but the results have been promising. In one test, a group of novice golfers was able to improve their putting accuracy by 33% after using the device for just 30 minutes. The developers are now working on commercializing the product and plan to launch it later this year.

Why is the Robo-Golfer so good at golf?

Robots are increasingly becoming a staple on the golf course. From driving the ball down the fairway to picking up the flag, robots are proving their usefulness in golf. The Robo-Golfer is the latest robot to make its way onto the golf course.

So, why is the Robo-Golfer so good at golf?

For starters, the Robo-Golfer has been specifically designed for golf. It uses sensors and artificial intelligence to analyze a golfer’s swing and then replicate it. The result is a perfect swing every time.

In addition, the Robo-Golfer is able to adjust its grip and stance based on the lie of the ball. This allows it to hit the ball in exactly the right spot, resulting in consistent, accurate shots.

Finally, the Robo-Golfer can also be programmed to hit different types of shots. Whether you’re looking for a draw, fade, or even a flop shot, the Robo-Golfer can do it all.

So, there you have it – three reasons why the Robo-Golfer is quickly becoming one of the best ways to improve your game. If you’re looking for a robot that can help you take your game to the next level, be sure to check out the Robo-Golfer!

How will the Robo-Golfer impact human golfers?

The Robo-Golfer is a new artificial intelligence golfing machine that is set to make human golfers look inferior. This machine has been designed to hit the perfect shot every time, meaning that it will never miss a putt or hit a bad shot. The impact that this will have on human golfers is huge, as they will no longer be able to compete with the Robo-Golfer.

This machine is going to change the game of golf forever, as it will make it impossible for human players to ever win again. The only way that humans will be able to beat the Robo-Golfer is by cheating, which will only make them look even worse.

So, how will the Robo-Golfer impact human golfers? It will make them look inferior and unable to compete against the machine.

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The Top 10 Programming languages in robotics that helps to create your own robot. Make use of them

Robot Programming – The process of creating a control plan for how a machine interacts with its surroundings and achieves its objectives. For this, Robotics programming languages are very much required for this. By knowing these top 10 Programming languages mentioned in this article one can create their own robot.

However, there are about 1500 programming languages on the planet, a large number to get command on. And furthermore, the utilization of language depends significantly on the sort of robot that you are creating. The skill of applying one’s knowledge and common sense in the right way at the right time is one of the most important aspects of being a roboticist and if you can manage this then you can create your own robot.

Let us know the top 10 Programming Languages in robotics

1. C/C++: These languages are very prominent among other robotics programming languages. Why? because one of these languages is used in a lot of robotics hardware libraries. Real-time performance, interaction with low-level hardware, and extremely mature programming languages are all provided by these libraries. Even though C is still one of the most efficient programming languages, you probably use C++ more than C these days.
2. Python: Python is a high-level programming language that is used a lot in robotics to design embedded systems. It has emerged as an essential component of ROS (Robots Operating System) due to its numerous useful features. Raspberry Pi, Arduino, and extensive automation packages are examples of robots built with Python because of their ability to deviate from standard programming tasks.
3. JAVA: In several areas of robotics, Java is quite popular. It appears to be one of the fundamental languages used by several contemporary AIs, notably IBM’s Watson and AlphaGo. However, machine code cannot be created from it because Java is an interpreted language. Instead, the Java Virtual Machine translates the commands at runtime, enabling you to run the same program on numerous different computers.
4. MATLAB: Some robotic engineers love using MATLAB (and its open-source siblings like Octave) to analyze data and create control systems. It is widely utilized in data processing and research. There is also a very well-liked Robotics Toolbox for MATLAB for robotics. Robotic engineers can create complete robotics systems using only MATLAB.
5. C#/.NET: It is frequently used for port and socket-level programming, but JAVA’s libraries are far more developed and can be used instead to implement neural network systems (and in manufacturing industries). Because of this, the traditional robotics languages C++ and Python are advised over C# and .Net in the field of robotics.
6. Languages for Hardware Description (H.D. Ls): Circuits for electronic and digital logic can be programmed using this computer language. The gates and chips are specified using Hardware Description Language, and a hardware simulator is used to simulate the behavior of the resulting chip specifications which is used in robotics.
7. LISP: One of the oldest programming languages, Lisp was created initially for the mathematical notation used in computer applications. Since Lisp is a key language in the field of AI (Artificial Intelligence), many essential sections of ROS (Robot Operating System) are written in it which are useful in robotics.
8. PASCAL: One of the first programming languages and it serves as the foundation for several industrial robot languages. As a result, if you plan to program industrial robots, it’s still a good place to start.
9. Scratch: Every year, thousands of aspiring roboticists around the world use Scratch. This visual programming language is frequently the language of choice in school technology classes and robotics clubs because it is designed specifically for novice programmers.
10. Industrial Robot Languages: One of the issues with industrial robotics has long been the existence of proprietary robot programming languages created by virtually every robot manufacturer. Every time you begin utilizing a new robot brand, you will nonetheless need to master a new language.

Conclusion: These are the top 10 programming languages that you need to learn if you are planning to create your own robot. However, the development of your “Programming Mindset” is the most important thing. As many programming languages as possible should be learned. Programming will get better for you the more you learn.

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A Japanese organization designed spider robots to leave through the sewers. The multi-legged Spider robot, called SPD1, was developed by robotics company TMSUK and is reportedly generated in response to a request from a road and sewage pipe maintenance company facing a lack of workers.

SPD1 is fitted with an array of driven spotlights and sensors to recognize and navigate its surroundings, and an on-board 360-degree camera that streams real-time recordings to workers outside. The robots can be utilized either individually or in a team, and the devices are capable of being connected together by a cable to implement multiple tasks on a job, with one navigating, one recognizing areas for repair, and the third one performing maintenance through a robotic arm.

Japan’s system of sewer pipes spans around 304,000 miles and is expected to increasingly expand in the upcoming years. Maintenance on current pipes is required as they reach the end of their standard service life, and the ongoing labour shortages in the construction market are creating regular inspection and maintenance services challenges.

The robots also have a range of beneficial applications beyond sewer pipes, with possible deployments in any short or hard-to-navigate spaces currently inapplicable to human workers.

A number of Japanese researchers have worked on robots that locate and blast mines. Some look like spiders and others look like crabs or caterpillars. One device introduced by the Tokyo-based company Geo Search uses radar to find holes in mines and a device that is put up the mine.

Osaka-based NEC and Mie University have produced a 40-centimeter-tall winebot, a robotic sommelier that can recognize dozens of wines and cheese. At the end its arm is an infrared spectrometer that can consider substances by irradiating them at multiple wavelengths. The robot can name the brand of several wines, decide whether it is sweet or dry, and can make a couple comment in a childlike voice including which food it might go well with.

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Robotics Skills for Beginners are very much needed to achieve great success in the field of Robotics. All robotics experts should possess a few common skills, even though duties in different professions will vary. These abilities will help individuals succeed in the field of robotics engineering and give them a variety of employment options.

Why learn Robotics?

It is a hobby that can provide enduring pleasure and perhaps develop into a career, as your program and create your robots. It is best to become proficient in computer science, coding, physics, and linear algebra if you wish to master robotics. Anyone may learn this interesting and entertaining subject, regardless of age or level of computer science knowledge and this in turn can make you a lot of money i.e., if you can make it your career, you can easily earn a 6-Figure Salary with prominent robotic skills.

So, let us know the top 10 Robotics Skills for Beginners to Earn a 6-Figure Salary:

1. Learn the basic programming languages: While a career in robotics requires knowledge of popular programming languages such as C, C++, Python, and Java, there are some key differences between programming for robotics and programming to develop software or mobile applications.
2. Should be good at Maths and Science: According to robotics maker RobotIQ, mathematics is one of the few essential robotics talents that cannot be picked up along the way. For a successful career in robotics, it is essential to have at least a solid foundation in the following areas of mathematics and science.
3. Technology Design:Building a robotic system requires the ability to design functional systems, which is what proficiency in technology design entails. It also entails being able to identify the cause of a problem and provide potential fixes, which calls for repair abilities. Both of these abilities are essential for a roboticist.
4. Working on a team: Although most robotics work is technical; it is claimed that some soft skills are useful. Being a team player is especially important. You want to have valuable abilities, like the capacity to create intricate AI algorithms, but you also need to be able to collaborate with others.
5. Active learning: Robotics is a field that is constantly evolving. New programming languages, artificial intelligence (AI) concepts, and materials to work with are all on the horizon. By staying informed of these developments and incorporating them into fresh areas of robotics, a robotics engineer may demonstrate their value.
6. Creative thinking: Marketing and business development skills might benefit from creativity. For a robotics engineer who has created a new product, these are particularly valuable business abilities, according to the computer-aided design and drawing (CADD) software company Autodesk.
7. Problem-solving: A crucial robotics talent is undoubtedly the ability to plan and construct technically sound systems, but it’s also crucial to be able to identify the root causes of malfunctions in systems. You’ll need to be aware of the best procedures for fixing a mechanical problem.
8. Judgment and decision-making:Making the most of your position depends on your ability to use judgment and decision-making. Your ability to think critically and analytically will enable you to weigh the advantages and disadvantages of each option, allowing you to examine the issue from a variety of perspectives.
9. Good Communication:The many disciplines can communicate with one another through effective roboticists. Communication abilities are therefore essential. It’s crucial to be able to successfully employ your speaking and writing abilities. Additionally, this is a huge benefit if you have strong teaching abilities.
10. Persistence:Finally, persistence is a crucial trait given the complexity of robots. It could be tenacity in attempting to solve a particularly challenging issue or tenacity in attempting to convey a complicated subject to others.

Conclusion: Thus, Roboticists require a strong set of these supporting skills to be effective in both practical and exploratory. These are the Robotics Skills for Beginners to Earn a 6-Figure Salary and hiring managers frequently will be in search of these skills in a robotics engineer.

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NASA to ship its first shift mobile robotics plans to search for water on the moonwalkers in 2023

Mobile Robot, containing the Perseverance rover releasing soon to Mars, teach us about what it’s like on the surface. That intel helps inform future human missions to the Red Planet. We wll also require to outfit spacecraft and astronauts with innovations to get them there, explore the surface, and securely return them home. The roundtrip mission, involving time in transit – from and back to Earth and on the Martian surface, will take about two years.

The US organization, as part of its Artemis program, is planning to share its first mobile robot to the Moon in 2023. The Volatiles Investigating Polar Exploration Rover, or VIPER will gather information that will help NASA map resources at the lunar South Pole that could one day be collected for long-term human investigation at the Moon.

The data get from VIPER has the possible to aid our scientists in deciding precise locations and concentrations of ice on the Moon and will provide us compute the environment and possible resources at the lunar south pole in preparation for Artemis pilot,” said Lori Glaze, director for NASA’s Planetary Science Division at the organization Headquarters in Washington.

This is another instance of how robotic science missions and human analysis go hand in hand, and why both are essential as we prepare to create a sustainable presence on the Moon. VIPER runs on solar power. It will be needed to rapidly manoeuvre around the extreme swings in light and dark at the lunar South Pole. NASA has awarded a service order to Astrobotic for VIPER’s release, transit and delivery to the lunar surface as part of the organization Commercial Lunar Payload Services (CLPS) initiative.

VIPER will produce four instruments on board. This involves the Regolith and Ice Drill for identifying New Terrains (TRIDENT) hammer drill, the Mass Spectrometer Observing Lunar Operations (MSolo) instrument, the Near Infrared Volatiles Spectrometer System (NIRVSS) and the Neutron Spectrometer System (NSS).

The space organisation continued investment in the mid-size rover involves mission development price and operations of $433.5 million. The recent delivery contract value for Astrobotic to produce VIPER to the Moon through CLPS is nearly $226.5 million.

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“Elon Musk, owner of Twitter wants humans being replaced by robots in Twitter,” says new reports

An ex-member of Twitter’s cleaning crew, Alvarado, who supports his family financially by sending money to them in Mexico, claimed that one of Musk’s most senior staffers told him that robots would soon render his position obsolete, which implies, Humans Being Replaced by Robots in Twitter soon.

Julio Alvarado, a janitor at Twitter for ten years, was let go by Musk’s team as the entire business underwent a major restructuring to adopt a harder-core mentality. Alvarado said that after Musk took over this business, private security officers would keep a tight eye on him as he cleaned Musk’s office. According to a BBC report, the four sacked janitors did not get any severance pay from Musk’s management team when they received their pink slips. One of them claimed she wouldn’t have enough cash to buy food or holiday presents for her family.

The layoffs took place immediately after the president of the janitor union announced last Monday that a strike was being considered. More than half of Twitter’s engineers have been let go by Musk and his team since they took over, symbolically cleaning house.

Alvarado was reported as saying, “I believe we were terminated because we belong to a union.” Since taking over Twitter more than a month ago, Musk has purged the organization.

When Mr. Musk took control in October, he quickly fired Twitter’s top executives. A week later, he let go of half of the company’s 7,500 employees. Two women who lost their jobs and argue that the layoffs unfairly impacted female employees have filed a lawsuit against Twitter. The discrimination action was submitted on Wednesday to the San Francisco federal court. According to the report, Twitter let go of 57% of its female employees compared to 47% of its male employees.

The staff at the social networking platform’s San Francisco headquarters, which the billionaire acquired for $44 billion, told the BBC that they were let go without being given any notice. David Chiu, the city attorney for San Francisco, is currently looking into the firings to determine whether the world’s richest person breached any laws. According to Mr. Chiu, Elon Musk has a long history of breaking labor regulations. “I feel for these workers, even though I’m not surprised this happened. We’re going to look into this more.

Adrianna Villarreal, fired after four years as a housekeeper at Twitter, told the BBC, “It’s a sad and frustrating thing for our families and children.” More than half of the engineering employees were let go by Musk. In addition, he fired the last week’s strike-related janitors.

The firings have attracted the attention of the city attorney for San Francisco, who told BBC that he intends to open an investigation to see whether Musk broke any labor rules. The San Francisco Department of Building Inspection is also looking into the business following claims that bedrooms had been erected at Twitter’s headquarters for employees.

Musk justified his choice to convert part of Twitter’s offices into bedrooms on Wednesday by stating he was “offering beds for exhausted colleagues.”

Since buying Twitter, Musk has let go of more than half of the company’s staff and hired several people from his other businesses as well as trusted business partners including PayPal mob pal David Sacks and private attorney Alex Spiro.

Conclusion:

Thus, it seems that layoffs will be continued and soon humans will be replaced by Robots in Twitter which is overtaken by Elon Musk.

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Robots are now derived from the phenomenon of the movements of flying snakes and reptiles

By now, it is quite evident that robots are here to stay. They are undertaking some of the most dangerous and repetitive tasks to help human workers out in their daily lives. Innovations and development in this sector have been soaring and are triggering growth in almost all sectors of society. However, robotics innovations have also gotten weirder. New robots have been designed to move in ways that will mimic animal movements such as swimming and walking. Now, scientists are moving in different ways that will copy the gliding motion demonstrated by flying snakes!

As creepy as it might sound, it is actually true. In Physics of Fluids by AIP Publishing, scientists from the University of Virginia and Virginia Tech explored the lift production mechanism of flying snakes. Here, the robots move sideways like snakes as they do from the top of a tree to the ground to escape predators or to move around quickly and efficiently. These primary movements allow the snake to glide for long distances, as much as 25 meters from a 15-meter tower.

Basically, serpents like paradise tree snakes writhe between one and two times per second as they travel between tree branches or in the ground. But even these movements have their drawbacks that sometimes interrupt the aerodynamics of a snake’s movement. Researchers have mimicked this movement to enable the robots to move to soar distances while still being in the air.

These feats truly demonstrate what the robotics industry can achieve in the next ten years, infact, if they are able to keep up with the momentum, soon we might be able to have robot spider and octopuses too!

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New European robots called COBOTS may become the best buddies of employees.

Fears that robots will displace workers and increase unemployment have made the introduction of robots to the workplace a subject of societal unease for decades. The situation is shifting now that increasingly advanced and lifelike robots are really being developed, with some people now viewing robots as promising teammates rather than unwanted rivals. Consider the Comau industrial automation company in Italy. It has created a robot that can cooperate with employees in stringent cleanroom environments in the pharmaceutical, cosmetics, electronics, food, and beverage industries, improving their safety. The new technology is referred to as a “collaborative robot,” or “cobot.”

When a person enters the work area, Comau’s arm-like cobot, which is intended for handling and assembly duties, may immediately change from an industrial to a slower speed. One robot can now be employed in place of two, increasing productivity and safeguarding workers. By enabling a dual mode of operation, it has advanced things, according to Dr. Sotiris Makris, a roboticist at the University of Patras in Greece. When it is in collaborative mode, the worker can take it and move it around as a helper. Alternatively, it can be used as a standard robot. Makris served as the project coordinator for the recently concluded, EU-funded SHERLOCK project, which investigated novel approaches for securely fusing human and robot capabilities from what it considered to be a frequently underappreciated research perspective: psychological and social well-being.

SHERLOCK also looked at the possibility of using intelligent exoskeletons to help employees lift and handle large objects in settings like workshops, warehouses, or assembly lines. Artificial intelligence (AI) was utilized to track and monitor human movement. The hope is that with this input, the exoskeleton can adjust to the demands of the particular task while assisting workers in maintaining an optimal posture to prevent harm.

Makris refers to the humanoid robots being created by Elon Musk’s Tesla Motors. Exoskeleton suits, wearable robotics, and bionic limbs are further technologies under development that aim to improve workers’ abilities at work. Robotics can benefit society by performing boring, repetitive chores, freeing up employees to do more creative work. Additionally, organizations could become more accessible by assisting persons with impairments thanks to robotic technologies that can efficiently interact with employees. Greater industrial efficiency has economic benefits in addition to the social one, demonstrating that none need necessarily come at the expense of the other. Even so, there are significant obstacles to overcome in order to ensure that robotics are successfully incorporated into the workplace and that workers’ unique needs are satisfied while interacting with them.

Software that permits “smart-shift scheduling,” which assigns duty periods to employees depending on their individual circumstances, was one such field. It has been demonstrated that the method helps social welfare and healthcare personnel with their levels of stress, sleep difficulties, and sick days. Prof. Jacucci praised the study as “a terrific illustration of how workability improves when we employ evidence-based understanding of how to build well-informed schedules.” According to him, the future of seamlessly integrated robotics and digital technologies depends on putting the individual first. Let’s imagine you need to work with a robot to complete an assembly operation, he said. Should the robot be aware of my cognitive and other capacities, asks the inquiry. And how should we assign the two of them the task? The project’s main takeaway is that there is much of space to enhance and diversify working conditions. It demonstrates how much potential is still unrealized, according to Prof. Jacucci.

The project team created an adaptable workstation with a cobot to help people with assembly activities like putting together a phone, automobile, or toy, or, really, any combination of separate components into a finished product during manufacture. The workstation’s lighting and workbench height can be adjusted to a user’s height and vision. Additionally, it has features like eye-tracking glasses to assess mental workload. Professor Giulio Jacucci, coordinator of CO-ADAPT and a computer scientist at the University of Helsinki in Finland, stated it gives deeper insight into what all types of individuals need.

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