Amazon Warehouse gets its first Autonomous Robot named Proteus which can work with the workers in transporting Amazon GoCarts. Proteus has a unique feature to identify and stop when human come close to it using it's green light. It's a really handy robot for Amazon Warehouse to perform it's operations smoothly and efficiently.

Afghanistan Robots are sophisticated robots to reduce and eliminate the existing landmines as it has killed over 1 Million of people. It is also affecting agriculture. In order to reduce it Afghanistan Robots have a unique design called MKD. For more info about it, listen till the end.

The three primary autonomous vehicle sensors are camera, radar and lidar. Working together, they provide the car visuals of its surroundings and help it detect the speed and distance of nearby objects, as well as their three-dimensional shape.

In addition, sensors known as inertial measurement units help track a vehicle’s acceleration and location.

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Aircraft manufacturers have added automation to many areas, but a large number of processes still occur manually. Adding collaborative robots to the aviation industry is more complex than other industries. Many aviation components are custom-made in lesser quantities, and aircrafts require work to be performed at varying angles with various material thicknesses and diameters.

numerical control is a form of programmable automation in which a machine is controlled by numbers (and other symbols) that have been coded on punched paper tape or an alternative storage medium. The initial application of numerical control was in the machine tool industry, to control the position of a cutting tool relative to the work part being machined. The NC part program represents the set of machining instructions for the particular part. The coded numbers in the program specify x-y-z coordinates in a Cartesian axis system, defining the various positions of the cutting tool in relation to the work part. By sequencing these positions in the program, the machine tool is directed to accomplish the machining of the part. A position feedback control system is used in most NC machines to verify that the coded instructions have been correctly performed.

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The material is made by grinding carbon nanotubes, or tube-shaped carbon molecules, with an ionic liquid and adding it to rubber.

Carbon nanotubes often bunch up together but the millimetre-long tubes coupled with the ionic liquid can be uniformly dispersed in rubber to realise both high conductivity and flexibility.

Sekitani said the new material could be used on the surface of steering wheels, which would analyse perspiration, body temperature and other data of the driver and judge whether he or she is fit enough to drive.

Amazon Robotics robots, evolved from the company’s acquisition of Kiva Systems, are able to pick up heavy carts of packages to move them automatically across the sortation center floor, bringing them to the appropriate portal to make it easier for Amazon workers to load them into trucks.The robots scan codes on the bottom of each cart to identify which load they’re picking up. When they’re running low on power, they automatically dock to recharge.

Robots have already made their way into airports. A number of them are already using robots for mundane processes like cleaning airport floors and providing information to flyers. As the technology becomes more advanced, robots will see a faster and increasing adoption at terminals across the globe. They are predicted to take over our airports by 2030, according to a recent study. Robots will automate and streamline most of the processes and procedures carried out at airports. Airport robots can become a common sight in the near future and completely change the way we travel.Robots can significantly reduce the time passengers spend at terminals and can streamline most of the current processes. Although robots will mostly prove beneficial to passengers, they will ultimately benefit airline companies and airport authorities as they will help attract more passengers towards air travel.