Autonomous robots …

                     Future Technology That Will Change the World...

 Introduction: Technology changes everyday and faster and faster with every passing year there's no denying it the singularity is coming. The robot revolution is marching ever closer and it all begins here are some examples of future technology that will change the world.

                                                             Autonomous Robots

Autonomous robots as Science fiction has imagined robots with the ability to think for themselves they're often depicted as a dystopian marauding gang of evil machines hell-bent on world domination. so it that seems pretty likely that autonomous robots will indeed change the world ,but will they change it for the better or should we start building a bunker the general idea with autonomous robots is of course to simplify our human lives isn't that how it always begins in the movies as well these robots will be designed to gather information from their environment and require. little input from humans for long periods of time they would likely wide range of different sorts of robots with programming from the simple vacuuming robot all the way to an autonomous helicopter the main difference between the sorts of robots that perform these tasks now and the future versions is in the way that the new ones will be able to gather and interpret information as they go along and then adapt their performance. Accordingly essentially a process not unlike thinking so robots that can think for themselves that seems like a really good idea. whatever could possibly go wrong one such example is the MIT cheetah robot which you would have seen in the thumbnail for this Blog.

The robot deal with a variety of constraints automatically. A robot that is equipped

of environmental constraints while performing a desired task is called an autonomous robot.

Pictures :

The first ever four-legged robot capable of performing a back flip. These things are light on their feet with a range of motions that could rival a champion gymnast you're probably wondering why the geniuses behind the MIT cheetah robots designed and built it in the first place well the answer's simple they simply felt like it the eventual plan is for future MIT Cheetah robots to be so autonomous and capable of something similar to thought they can navigate an obstacle course without instruction or control. 

Mojo Vision: Know about contact lenses but did you know about smart contact lenses. let's be real these things are about to change the world for real these prototypes made by mojo vision don't just enhance your vision. They also show your schedule right from the surface of your eye like some kind of science fiction. Movie it's like being iron man the plan of mojo Vision is to pioneer what they call invisible computing if they get their way then we'll be looking at less screen because the screens will be in our eyeball if this works we'll all have a personal planner inside our eyes it's scary stuff.

Decision : For humans, it’s our brain that makes most of our decisions; or in some cases our “gut” or even our neural system. Our brains make higher level decisions, like where we want to walk, for example. But sometimes our biology supersedes our brains, and our bodies react to things before our brains even know what’s happening. Those reflexive behaviours, like eyelids closing to block a flying piece of debris, are operating faster and without the permission of our brains for the purpose of keeping us safe.

Autonomous robots have a similar decision-making structure. The “brain” of a robot is usually a computer, and it makes decisions based on what its mission is and what information it receives along the way. But robots also have a capability that is like the neurological system in humans, where their safety systems operate faster and without the permission of the brain; in fact, in robots, the brain operates with the permission of the safety system. In an autonomous robot, we call that “neurological” system an embedded system; it operates faster and with higher authority than the computer that is executing a mission plan and parsing data. This is how the robot can decide to stop if it notices an obstacle in its way, if it detects a problem with itself, or if its emergency-stop button is pressed.

The Worst Example of a (Not Really) Autonomous Robot: Quite frequently, the classic industrial machines you see in an assembly line for a car manufacturer are mislabelled as robots. While they are amazing feats of engineering, they are not robots at all and are instead like milling machines that operate off computer numerical controls (CNC). 

Unlike a truly autonomous robot, these industrial machines are pre-programmed to perform a repetitive movement. They are not able to react. For example, what would happen if one of these so-called robots responsible for installing spare tires in the trunk of a car encountered a random situation in which the trunk was shut. Would the “robot” know not to install the tire? Probably not. Instead, this machine would continue to perform its programmed task and would most likely end up smashing the tire right through the trunk lid. If this machine was truly an autonomous robot, then it would know not to install the tire based on the information it gathered from perceiving the situation and knowing that the trunk was not in fact open.

Autonomous Robots reports on the theory and applications of robotic systems capable of some degree of self-sufficiency. It features papers that include performance data on actual robots in the real world. Coverage includes: computational architectures for autonomous systems · human-robot interaction · learning and adaptation in robots · manipulation and locomotion · multi-robot systems · planning and navigation · studies of autonomous robot systems · sensing and perception · self-calibration and self-repair for robots.

• Reports on the theory and applications of robotic systems capable of some degree of self-sufficiency.
• Features papers that include performance data on actual robots in the real world.
• High Impact Factor in Robotics and AI.

The Worst Example of a (not really) Autonomous Robot

Going back even further in time, the classic industrial machines you’d find in an assembly line for a car manufacturer are chronically mislabelled as robots.  In reality, while they are amazing feats of engineering, they are remarkably similar to milling machines that operate off computer numerical controls (CNC).

Unlike a truly autonomous robot, these industrial machines are pre-programmed to perform a repetitive movement. They are not able to react. For example, what would happen if one of these so-called robots responsible for installing spare tires in the trunk of a car encountered a random situation in which the trunk was shut. Would the “robot” know not to install the tire? Probably not. Instead, this machine would continue to perform its programmed task and would most likely end up smashing the tire right through the trunk lid. If this machine was truly an autonomous robot, then it would know not to install the tire based on the information it gathered from perceiving the situation and knowing that the trunk was not in fact open.

So what is a good example of an autonomous robot?

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