Raptor Robot Scam Review Is it Safe

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RAPTOR ROBOT SCAM REVIEW – JUNK SOFTWARE!!

OFFICIAL SCAM URL: raptorrobot.com

Raptor Robot scam software is a new binary options trading platform , or should we say, a brand new scam . This completely anonymous trading program promises us huge profits with a great ITM rate, no risk, and a whole lot of financial reward. However, the facts speak for themselves, and those facts totally contradict anything and everything that we are told by the criminals behind Raptor Robot software.

The world of binary options is completely fully of risk and no amount of scheming can change that. Sure, making a profit in this market field is always possible, but not with a scam program like Raptor Robot software. Hey, if you are into getting ripped off, then this is the right program for you, but if you actually want to be successful in this world, then you should not use Raptor Robot scam software by any means.

How Does Raptor Robot Software Work?

Perhaps the biggest red flag and clear give away that Raptor Robot software is a total scam, is that there is no real explanation as to how it works. Yes, we are told, by anonymous people mind you, that this program is a revolutionary new trading tool that will change the world of binary options for ever. It is said to use great trading strategies and a highly advanced algorithm to provide you with ridiculous wads of money.

Now, that sounds well and all, but in all reality that crappy explanation tells us nothing of value. All of this jargon and financial rhetoric that is thrown at us is only meant to confuse us to the point of submission.

These criminals just want us to give up, stop thinking about how the program works, and blindly invest our money. The sad truth is that we, nor anybody else, has no idea how it works. We are never informed of what the algorithm does, what trading strategies are used, or anything else.

We don’t know about you, but we are not about to invest in any kind of trading platform, especially not Raptor Robot scam software, when the crooks behind it can’t even be bothered to tell us how it works, or even make up a phony explanation. These guys are nothing more than lazy scam artists per extraordinaire and investing money with the Raptor Robot scam is like using 100 dollar bills to light a fire.

Who Is The Owner Of Raptor Robot Scam Software?

Yet another thing that we know nothing about, or person we know nothing about, is the owner of Raptor Robot software. The presentation video for this total garbage software only features voice narrators, which is of course convincing in the least. We never get to see a face and we never get to put a face to the voice we hear.

There is only one single reason for a creator of a scam like this to stay anonymous, and it is because they know it is a scam, they know they are committing fraud, and they know that they would end up in the county lock up before the day is over. These guys are criminals and they do not want you finding out who they really are, which is exactly why we would never invest a single penny with Raptor Robot scam software.

The Raptor Robot SCAM – BAD INVESTMENTS & WORSE BROKERS

The next thing we discovered about this bogus program which indicates that a scheme is afoot, is the fact that bad brokers are used. Now, we don’t mean that Raptor Robot scam software uses brokers that don’t know what they are doing, because they know exactly what they are doing.

They are stealing money, something which they are in fact very good at. There have been many people who have this far reported making the initial $250 deposit and losing all, and they did not lose it through bad trades.

People deposit their money, people go eat a snack, and people come back to a drained account. This is because Raptor Robot software uses criminal brokers located in unregulated countries, which is convenient for them because there are literally no consequences for screwing you over. These are not reliable brokers !

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These brokers are people that you and me would dish out some social justice on if we ever got our hands on them, justice which the legal system in the places they reside doesn’t care to dish out themselves.

Raptor Robot Software – FAKE ITM RATES

Another thing which shows us how fake this program really is, is the lie of a having an extremely high ITM rate. The anonymous voice in the hastily put together Raptor Robot software presentation video informs us that this trading platform has an ITM rate of 90% at the very minimum.

This means that 9 out of every 10 trades which this platform automatically executes will be winning trades. While this may sound very promising to some, anybody with any idea of how binary options works will be able to tell you that this is nothing but a lie. Winning trades involved having good trading strategies and being able to predict future price trends and changes.

Yes, there are good trading programs out there which can do this quite well, but even the best ones in the world can’t go above an 85% ITM rate and that is a fact. This whole 90% ITM rate thing is nothing more than a very bold lie being sold to us by a faceless snake oil salesman.

Raptor Robot Scam Review Conclusion

As you can see, there is not a single shred of evidence which would indicate that Raptor Robot software is anything other than a scam. These guys remain to stay hidden in the shadows so they can’t be prosecuted, they utilize brokers that rob you blind, and they promise profits and winning trade rates that are wholly impossible to achieve. Stay away from this pile of garbage by any means necessary.

If you would in fact like to be successful in the world of binary options, you could always try using programs like The Lexington Code or United Trading Network (UTN). Both of these trading programs have been tested by various teams of experts, they are shown to be very profitable, and they do in fact have an 85% ITM rate. Depending on market volatility, either of these programs can help you generate some good money without a doubt.

IMPORTANT : If you have any questions, issues or you experience any problems please email us and we will be glad to assist you. Our contact customer support email is: [email protected] If you register with this service from our website then you will always have our full free support in case you run into any issues or problems. Remember that you are not alone, with us you will always be safe!

Thank you very much for reading this detailed scam review. Subscribe to our blog in order to be fully protected and to be up to date with all binary options services out there. Additionally please share and follow us on Facebook, Twitter, Google+ and Pinterest . See you next time!

Rogue Robots: Testing the Limits of an Industrial Robot’s Security

View Demonstrating Industrial Robot Attacks in Today’s Smart Factories

The modern world relies heavily on industrial robots. But is the current robotics ecosystem secure enough to withstand a cyber attack?

Can Robots Be Compromised?

Industrial robots have replaced humans in a lot of large-scale production and manufacturing activities because of their efficiency, accuracy, and safety. These mechanical, programmable devices can now be seen in practically all industrial sectors―making cars, fabricating airplane parts, assembling food products, and even providing critical public services.

Soon enough, robots will become a ubiquitous feature of modern factories that we must ask now whether the current ecosystem of industrial robots is secure enough to withstand a cyber attack. This is the question we—the Forward-looking Threat Research (FTR) team and our collaborators from the Politecnico di Milano (POLIMI)—had in mind when we started examining the attack surface of today’s industrial robots. More importantly, we wanted to demonstrate whether it is actually possible to compromise them.

This attack demonstration, which we documented in the following video, was done in a laboratory setting on an actual working industrial robot. Due to the architectural commonalities of most modern industrial robots and the existence of strict standards, the robot chosen for our case study is representative of a large class of industrial robots.

An industrial robot is an “automatically controlled, reprogrammable, multipurpose manipulator programmable in three or more axes, which can be either fixed in place or mobile for use in industrial automation applications.

What Robot-Specific Attacks Are Possible?

Operating an industrial robot requires several parts working together properly. A programmer or operator typically controls it by issuing high-level commands through the network (via a remote access interface like a teach pendant) to a controller. The controller, which is nothing but a computer, then translates the commands into low-level inputs for the different components of the robotic arm to interpret and execute.

Industrial robots are expected to perform with a high degree of safety, accuracy, and integrity. Any violation of these operational requirements, if initiated through a digital attack, can allow a cyber attacker to take control of a robot. We were able to determine five classes of attacks that are possible once an attacker is able to exploit any of the several weaknesses that we found in industrial robot architectures and implementations.

In our comprehensive security analysis, we found that the software running on industrial robots is outdated; based on vulnerable OSs and libraries, sometimes relying on obsolete or cryptographic libraries; and have weak authentication systems with default, unchangeable credentials. Additionally, the Trend Micro FTR Team found tens of thousands industrial devices residing on public IP addresses, which could include exposed industrial robots, further increasing risks that an attacker can access and compromise them. The vendors, with whom we are working closely, have taken our results very responsibly, showing a positive attitude toward securing the current and future generation of industrial robots.

Rippa Raptor

Rippa Raptor

Participation Information

US Season

Team Information

Team Members

Robot Statistics

Weight

Dimensions

Power

Weapons

Rippa Raptor was a robot that competed in the first season of Robot Wars: Extreme Warriors entered by Team Raptor. While it lost in its Heat in the US Championship, it would finish runner-up in the Annihilator, losing to Drillzilla in the final round.

The team also entered with Cyclone and drove the loanerbot Tut Tut.

Design Edit

Rippa Raptor with its wheelguards

Rippa Raptor was a slightly triangular-shaped robot with two large drive wheels and two front-mounted cutting discs. The robot was well-controlled, but had minimal armor, which left its internals extremely exposed and allowed Dead Metal to immobilize it.

Following the first round of the Annihilator, two checker-plated aluminum panels were added to replace the original wheel guards after they were destroyed by Unibite.

Robot History Edit

Season 1 Edit

In Round One of the US Championship, Rippa Raptor was part of a six-way melee, against Close Enough, Mad Cow, Manta, Rosie the Riveter and Tiger Cat.

Rippa Raptor falls into the grips of Dead Metal

Rippa Raptor takes damage from Dead Metal outside the CPZ

It started by driving into the wall, allowing Manta to push it into Dead Metal, which produced sparks by cutting into Rippa Raptor. Dead Metal was cautioned by Refbot, as Rippa Raptor had not officially been immobilized, but Rippa Raptor was hardly moving regardless. Time expired, and Manta won this battle on a Judges’ decision.

Rippa Raptor was also involved in the Annihilator, where it fought against Conquering Clown, Red Virus, Skullmania, Unibite, and its ally throughout the tournament, Drillzilla.

Rippa Raptor’s wheel is shredded by Unibite

In Round One, it started by pushing Conquering Clown, and being pushed by Red Virus in return. Red Virus pushed Rippa Raptor into Sir Killalot’s CPZ, but Rippa Raptor escaped. There was a pile-up involving five of the robots in Matilda’s CPZ. The six then pushed each other around the arena, and Unibite ripped off part of Rippa Raptor’s wheel. However, Skullmania had eventually become immobile.

Rippa Raptor is pushed by Conquering Clown

In Round Two, Rippa Raptor added aluminum plates to replace the wheel guards that had been damaged in the last round. Conquering Clown pushed Red Virus into Unibite who attacked Rippa Raptor. Rippa Raptor briefly attacked the back of Conquering Clown with its discs. All five robots encircled each other, and Unibite broke down . Conquering Clown attacked Rippa Raptor by pushing it into the arena wall, but both robots had already qualified.

Rippa Raptor is spiked by Red Virus

In Round Three, Rippa Raptor was passive, only once attacking the Drillzilla machine it had elected to ally with, which then pushed Conquering Clown around the arena, immobilizing it on the flames. Rippa Raptor only made light engagements with Red Virus until it had safely qualified.

Rippa Raptor is pushed into the CPZ by Red Virus, and is rammed by Drillzilla

In the fourth round, Rippa Raptor was pushed into the CPZ by Red Virus, but Drillzilla intercepted and also pushed Red Virus Dead Metal. The two robots were separated by Refbot, but Rippa Raptor then took a backseat, relying on Drillzilla to defeat Red Virus single-handedly, upholding the alliance between the two. Drillzilla pushed the Red Virus into the House Robots and then Red Virus was counted out on the floor flipper.

Rippa Raptor is slammed by Drillzilla

Rippa Raptor had qualified for the final, against Drillzilla, who threatened to immobilise Rippa Raptor within a minute. Drillzilla pushed Rippa Raptor straight into the wall, and within two blows, Rippa Raptor stopped moving. After being dragged back by Sgt. Bash, Rippa Raptor was placed on the flames by Drillzilla, which had achieved its goal. Rippa Raptor was tossed over by the floor flipper, having finished second in the Annihilator.

The US Army is creating robots that can follow orders

For robots to be useful teammates, they need to be able to understand what they’re told to do—and execute it with minimal supervision.

Military robots have always been pretty dumb. The PackBot the US Army uses for inspections and bomb disposal, for example, has practically no onboard intelligence and is piloted by remote control. What the Army has long wanted instead are intelligent robot teammates that can follow orders without constant supervision.

That is now a step closer. The Army’s research lab has developed software that lets robots understand verbal instructions, carry out a task, and report back. The potential rewards are tremendous. A robot that can understand commands and has a degree of machine intelligence would one day be able to go ahead of troops and check for IEDs or ambushes. It could also reduce the number of human soldiers needed on the ground.

“Even self-driving cars don’t have a high enough level of understanding to be able to follow instructions from another person and carry out a complex mission,” says Nicholas Roy of MIT, who was part of the team behind the project. “But our robot can do exactly that.”

Roy has been working on the problem as part of the Robotics Collaborative Technology Alliance, a 10-year project led by the Army Research Laboratory (ARL). The project team included researchers from MIT and Carnegie Mellon working alongside government institutions like NASA’s Jet Propulsion Laboratory and robotics firms such as Boston Dynamics. The program finished last month, with a series of events to show off what it had achieved. A number of robots were put through their paces, showing off their manipulation skills, mobility over obstacles, and ability to follow verbal instructions.

The idea is that they are able to work with people more effectively—not unlike a military dog. “The dog is a perfect example of what we’re aiming for in terms of teaming with humans,” says project leader Stuart Young. Like a dog, the robot can take verbal instructions and interpret gestures. But it can also be controlled via a tablet and return data in the form of maps and images so the operator can see exactly what is behind the building, for example.

The team used a hybrid approach to help robots make sense of the world around them. Deep learning is particularly good at image recognition, so algorithms similar to those Google uses to recognize objects in photos let the robots identify buildings, vegetation, vehicles, and people. Senior ARL roboticist Ethan Stump says that as well as identifying whole objects, a robot running the software can recognize key points like the headlights and wheels of a car, helping them work out the car’s exact position and orientation.

Once it has used deep learning to identify an object, the robot uses a knowledge base to pull out more detailed information that helps it carry out its orders. For example,when it identifies an object as a car, it consults a list of facts relating to cars: a car is a vehicle, it has wheels and an engine, and so on. These facts need to be hand-coded and are time consuming to compile, however, and Stump says the team is looking into ways to streamline this. (Others are looking at similar challenges: DARPA’s “Machine Common Sense” (MCS) program is combining deep learning with a knowledge-base-centered approach so a robot can learn and show something like human judgment.)

Read more in our special
war and peace issue

Young gives the example of the command “Go behind the farthest truck on the left.” As well as recognizing objects and their locations, the robot has to decipher “behind” and “left,” which depend on where the speaker is standing, facing, and pointing. Its hard-coded knowledge of the environment gives it further conceptual clues as to how to carry out its task.

The robot can also ask questions to deal with ambiguity. If it is told to “go behind the building,” it might come back with: “You mean the building on the right?”

“We have integrated basic forms of all of the pieces needed to enable acting as a teammate,” says Stump. “The robot can make maps, label objects in those maps, interpret and execute simple commands with respect to those objects, and ask for clarification when there is ambiguity in the command.”

When it came to the final event, a four-wheeled Husky robot was used to demonstrate how well the software allowed robots to understand instructions. Two of the three demonstrations went off perfectly. The robot had to be rebooted during the third when its navigation system locked up.

“We did overhear the comment that if the robot hadn’t failed, it would have seemed like the demo was canned, so I think there was an appreciation that we were showing a system actually doing something,” says Stump.

As with military dogs, Young says, trust is the key to getting robots and humans to work together. Soldiers will need to learn the robot’s capabilities and limitations, and at the same time, the machine will learn the unit’s language and procedures.

But two other big challenges remain. First, the robot is currently too slow for practical use. Second, it needs to be far more resilient. All AI systems can go wrong, but military robots have to be reliable in life-and-death situations. These challenges will be tackled in a follow-on ARL program.

The Army’s work could have an impact in the wider world, the team believes. If autonomous robots can cope with complex real-world environments, work alongside humans, and take spoken instruction, they will have a myriad of uses, from industry and agriculture to the domestic front. However, the military involvement in the project raises concerns for roboticists such as Oren Etzioni, CEO of the Allen Institute for Artificial Intelligence.

“Current AI and robotics systems are brittle and prone to misunderstanding—think Alexa or Siri,” says Etzioni. “So if we put them in the battlefield, I sure hope we don’t give them any destructive capabilities.”

Etzioni cites a number of issues associated with autonomous military robots, such as what happens when a robot makes a mistake or is hacked. He also wonders whether robots intended to save lives might make conflict more likely. “I’m opposed to autonomous robo-soldiers until we have a strong understanding of these issues,” he says.

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