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Robotics Technician

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AVG. SALARY

$54,850

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EDUCATION

Associate's degree

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JOB OUTLOOK

Stable

Interviews

Insider Info

When you release a balloon in the air, its flight is short and erratic because of the sudden air loss inside the skin. If you could somehow continuously pump air back into the balloon to maintain pressure and create a jet of continually escaping air, the balloon could fly.

This is the same principle used on jet engines. Brenda Benedetti is a robotics and design engineer who works on jet engines. She focuses on designing better and more efficient ways for the engine to function.

"We use the computer and a lot of 3D design tools to work out our designs," she says. Benedetti is currently working on the complete installation of the engine into the aircraft.

"I am also using my hands and doing a lot of testing on engine installation," she says. "I'm particularly interested in the mount structure for the engine.

"I've always been interested in planes," says Benedetti. "And once I could combine this with engineering and technology, it was fascinating to know I could be a part of the design of a jet engine."

When David Garau writes his memoirs, don't be surprised if he calls it My Life as a Crash Test Dummy. It's not the job he dreamed about during his two grueling years at college. "It's better," he says -- and he means it.

Garau reconstructs motor vehicle accidents for an insurance company. His job is to help the insurance company decide who is liable for an accident. Sometimes that also means figuring out whether injuries like whiplash could have been caused by the accident.

"We go to junkyards and find similar vehicles [to the ones in the accident we're investigating]. Then we add instrumentation inside and out to measure impact, speed and other variables," says Garau. "We spend a lot of time setting up the scene on our back lot, making sure we've got it right.

"Then we crash them."

That's right. Garau has the job that anybody who played with toy cars in a sandbox dreamed about. He's allowed to crash big cars and trucks into each other. And he gets paid for it. So is there a downside?

"Well, sort of," he admits. "Sometimes we have to wire ourselves up and sit in the car during impact. But the vehicles aren't moving very fast when we do that."

Sometimes Garau has to design and build the instrumentation devices he installs in the cars. He's using electronic, mechanical and computer technology to collect and analyze data that reveals what happened during an accident.

As much as Garau enjoys talking about the lighter side of his work, he's quick to remind people that very often he deals with real human tragedy.

"We're very aware that death and serious injury are often a part of these accidents," he says. "When your job is to establish liability -- determine who is responsible for the accident -- you know the results of your tests will affect someone for the rest of their lives."

During their research of the accident, robotics technologists sometimes have to work with the actual cars involved or view the police photos of the accident scene -- it can be pretty gruesome. Part of their investigation involves looking at witness reports and consulting experts at car companies around North America.

"At its most practical level, this is problem solving. You have to determine the most probable chain of events. Sometimes the work is tedious; it takes a lot of thinking time and planning," he says. "It can be difficult, but I love it. It's great work."

When he was in school, he had no idea this kind of work existed. "One of my professors told me about the job. I was interested because it was an opportunity to use my skills and knowledge about automation and robotics in a really practical way."

When Skip Carter went through school, he had no idea he would end up working in robotics either. "I trained as a physical oceanographer and got into robots by accident," he says.

Carter uses robots to study the ocean -- he puts environmental sensors on the ocean floor to monitor and study water currents. "Our measurement instruments tend to contain some onboard intelligence because they have to be left unattended for months, or even left on the ocean bottom for years at a time," he says.

Almost as soon as he began his job, Carter started experimenting with the sensors to make them function better. His newly designed environmental sensors started looking more and more like robots. Out of curiosity, he started going to robot conferences and read more and more robotics journals.

"Now some of my robots -- walking on legs or rolling on wheels -- are more recognizable as traditional robots and aren't really environmental sensors anymore," he says.

It takes time to craft a robot and then set it free on the ocean bottom. Carter has to figure out if the robot will be useful in the depth of the ocean. How much power is available? Are high and low temperatures a consideration? Must the robot be able to move?

Once Carter has figured out the constraints, he begins to design. He has to rely on his knowledge of the ocean, mechanics, electronics and robotics to help him think of a way to put the robot together. How do you build a useful, reliable tilt sensor for a walking robot? It takes time and many mistakes before technologists come up with the answer.

"It can be very frustrating to implement something that works perfectly fine in isolation, but not on the robot as a system."

But Carter chooses to look at the obstacles as challenges rather than frustrations. "The synthesis of the different skills required to build and program a robot is a challenge that always makes things interesting," he says. And out of the frustration or challenge comes a working robot.

In many fields, workers have to be conservative with their thoughts and plans. In robotics, this isn't the case. "The field is young enough that no one believes that they have all the solutions," says Carter.

No matter if you are designing crash test dummies or ocean going robots, you can try out radically new approaches to solving a problem. And according to Carter, that can lead to the best result: "You often end up learning something new yourself."