On the other end of the spectrum, the machine might take actions necessary to ensure the survival of the human team member when the human is incapable of doing so. For example, an AI teammate could make the "ejection decision" for a fighter pilot who has lost consciousness or the physical ability to eject themselves. Pietrucha, a retired colonel in the U.S. Air Force who has had many flight hours as a fighter/attack aviator, sees the promise of such a system that "goes beyond the mere analysis of flight parameters and includes analysis of the cognitive state of the aircrew, intervening only when the aircrew can't or wont," he says.

These robotic partners were hailed as'the future of work', particularly in the manufacturing sector, but concerns about widespread robotic implementation are rife. Figures released by the Office for National Statistics (ONS) in March claim that 1.5 million people in England alone are at risk of losing their jobs to automation, suggesting that these fears are justified. However, automation can actually help manufacturers thrive and survive many of the workforce challenges they currently face. These include the'crippling skills shortage', which continues to blight the industry, and is putting workforces under increased pressure. At the same time, tougher immigration rules, associated with the UK's imminent departure from the EU, means that working in the UK will become less attractive or accessible for foreign nationals.

Technology is poised to change the workplace. Soon you may have a robot for a co-worker or a microchip embedded under your skin that's a work ID. Some innovations are already making an impact. Virtual reality, for example, is going beyond gaming to serve as a powerful workplace training tool. One of the biggest areas where VR training can be useful is safety, according to J. P. Gownder, vice president at research firm Forrester.

The robots are coming for our jobs--and we should welcome them. Why? Automation may help the U.S. economy break out of its productivity malaise. From 2007 through 2016, according to the Bureau of Labor Statistics, U.S. nonfarm business productivity grew just 1.2% annually, or well below past performance. In the 1990s, for example, nonfarm productivity grew 2.2% per year. A recent report by the McKinsey Global Institute argues that technologies such as A.I. and robotics offer a solution.

Robots across the world help out in factories by taking on heavy lifting or repetitive jobs, but the walking, talking kind may soon collaborate with people, thanks to European robotics researchers building prototypes that anticipate human actions. 'Ideally robots should be able to sense interactional forces, like carrying a table with someone,' said Francesco Nori, who coordinates the EU-funded An.Dy project which aims to advance human-robot collaboration. '(Robots) need to know what the human is about to do and what they can do to help.' In any coordinated activity, whether dancing or lifting a table together, timing is crucial and that means a robot needs to anticipate before a person acts. 'Today, robots just react – half a second of anticipation might be enough,' said Nori, who works at the Italian Institute of Technology which is renowned for its humanoid robot called iCub, that will be educated in human behaviour from data collected during the An.Dy project.

As routine, repetitive work is offloaded to software robots, employees can focus on work that requires human decision-making, creativity or empathy and continue to build new skills as jobs evolve and organizations transform. Robots can also make the work that employees do easier. It can speed up portions of their tasks or provide guidance within a process to help them learn how to do certain transactions--or notify them of changes in how they need to be done without requiring continuous training.

The robots were Joe McGillivray's idea. The first one arrived at Dynamic Group in Ramsey, Minn., by pickup truck in two cardboard boxes. With a mixture of excitement and trepidation, McGillivray watched as a vendor unpacked two silver tubes, assorted blue-and-gray joints and a touch screen and put them all together. When he was finished 10 minutes later, McGillivray beheld an arm that, had its segments not all been able to swivel 360 degrees, might have belonged to a very large N.B.A. player or a fairly small giant. Its "shoulder" was mounted to a waist-high pedestal on wheels. If it were to hail someone across the room, its "elbow" would reach eye level. Below its "wrist," which was triple-jointed for extra dexterity, there were sockets for various attachments. McGillivray, not sure yet if he wanted to keep the contraption, stuck a piece of clear tape to the wrist and drew a happy face on it, which made the arm look a bit as if it were putting on a puppet show. He hoped that this would help it look nonthreatening.

From self-driving cars, to data driven programmes that solve complex problems in the worlds of business, healthcare and leisure, intelligent automation is already beginning to dramatically alter the workplace. Robots are becoming more common across different sectors, and their use is expanding from factories to more human-driven industries such as services. Within the next few months, diners at a leading restaurant in Singapore will experience something novel in its service - dishes will no longer be delivered by human waiters, but instead be flown to their tables. This is more than a gimmick. Once in service, restaurant employees will no longer have to rush dishes between the kitchen and the dining area – a process that is expected to boost staff productivity by 25%.

We all know that robots are already here, changing the way industries across the world work. The robotics industry is evolving at a fast pace. In addition to the more traditional industrial robots, there is an emerging demand for modern cobots which are intended to physically interact with humans in a shared workspace. One example of these modern cobots is ABB's YuMi, which was officially introduced to the marketplace at the end of 2015. YuMi is a "robotic co-worker" that will, according to the company, change the way we think about assembly automation.