It's likely that IoT will evolve to encompass next generation methods and procedures such as 'teleoperation' (operation of a machine at a distance), tele-robotics, and other areas that rely upon interface and control of real objects or machines by remote operators.īy taking the advantage of IoT, the teleoperation technology developed for space operations, and also for other special terrestrial applications, may be very useful add-on to these sensory-rich industrial products, connected to Internet. But emergence of low-cost, high bandwidth Internet connection and standards of IoT are opening the opportunity of connecting millions of workers from Bangladesh and other developing countries to robotic avatars in Japan, USA and many other advanced economies to carry out non-routine work. Speed of Internet connections, cost, and the latency involved in long-distance communication have so far impeded progress toward the 'avatarisation' of the economy. This opens the opportunity of robots remotely controlled by a low-wage foreign worker. No robot is intelligent enough to perform this $8-an-hour work. Just consider the diversity of tasks, unpredictable terrains, and specialised tools that a landscaper confronts in a single day.

In advanced economies, many of the jobs most resistant to automation are those with the least economic value. Therefore, it may not be unfair to comment that enormous amount of data generation capability of these machines, coupled with Internet interface, will have little value to add - to encourage consumers to pay a fraction of trillion dollar for that. Experimentation of computational equivalent neural networks or fuzzy logic has taught us a lesson that basically, we have no clue to computationally perceive enormous amount of data, produced by cheap sensors, to understand simple variations of real-life situations. Although, initially it was perceived to be sensors, but tremendous growth of capability of cameras has proved that complexity is somewhere else. These research efforts, including Honda's ASIMO project, have taught us a very important lesson: it's far more complex than initially thought to be to add basic perception and decision making capabilities to these machines to make them do meaningful job in real world, without requiring human operators in the loop. Over the last 50 years, there have been significant efforts to develop fully autonomous machines-commonly known as robots. Without the integration of sensing, perception, and basic decision making capability, to be easily done by even a high school dropout from developing countries, most advanced driving machine of BMW or Ferrai is a useless piece of metal object. com disaster of the late 90s? To meet the ultimate goal of IoT to increase operational efficiency, power new business models, and improve quality of life-IoT will likely be more than empowering machines to collect massive amount of data.Īll the machines produced by the Industrial Age need people in the loop, whether it is turning on/off light bulbs when needed or driving a car. Until and unless consumers see money in it, will interface between Internet and bunch of built-in data gathering sensors produce a fraction of trillion-dollar economic benefit, which is touted for? Will data-centric approach likely end up in repeating the. The question is: whether data accumulation capability alone will enable IoT make our world a safer, more efficient, and more prosperous place. By many estimates, by 2020, there will be between 40 to 50 billion connected devices - from homes, cars, clothing and factories - that will transform everyday objects into powerful data-acquiring machines, with the promise that they will positively change the way business is conducted. Although examples in the consumer market include smart watches, fitness bands, and home-security systems, but the B2B (business to business) market include sensor-embedded semi-autonomous production equipment. The IoT refers to the networking of physical objects or machines through the use of embedded sensors, actuators, and other devices that can collect or transmit information about the objects. Internet of Things (IoT) is now a big thing - like the way we heard about.

Power to the people machine