Analysis Through Repetitive Mission Planning

We tend to put our fate in the hands of machines quite often. The more complex the machine, the greater the potential for failure at some point.  Roller coasters are a good example of this.  Not only do we place our lives int he hands of a machine that can easily help us to shuffle off our mortal coil we invite our friends and family to do it with us.  On top of that, we pay big money to guarantee that we will be scared out-right but not harmed in any way whatsoever.  However amusement park accidents are actually quite rare so we accept this risk.

Let’s put some numbers to this. According to the IAAPA approximately 940 Million attendees visited 700 major theme parks and attractions last year. Despite the large number of attendees, deaths and injuries at amusement parks are extremely rare. For example, in Orlando Florida theme parks in 2007 there were only 18 significant injuries (including pre-existing conditions) and one death. This is an extremely low level of risk.

The low risk is due to people who are experts in analysis of these same rides. Every morning and periodically throughout the day, rides are inspected for anything that could impair it. Even on the loops and drops, every step of the way, things are inspected in order for the industry to continue with its long record of safety. Despite these experts and additional rules and regulations, more people mean more injuries so number are going up slightly.

Robots can be a good compliment to this preventative expert activity.  There are already drones that workers can use to fly around and inspect rides, bridges, etc. but an easier analysis can be undertaken by the drones themselves.

For example, drones can be pre-programmed with a flight plan that takes them to exactly the same position again and again – and can be completed at any time day or night.  Combined with pattern recognition technologies, these same drones can analyze the given structures for inconsistencies. We have run tests with ground drones that return to a series of points. Using an advanced recognition system it can send an alert if there is a change to anything visual in the path.

This could be a great advancement in the realm of things like bridge maintenance and inspection and allow structures to be tested and analyzed before anything potentially hazardous happens.

Let’s make this a safer and less stressful world with robots!

Posted on August 18, 2017 in Education, Implementation, Robots

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About the Author

I am Brandon Smith one of the co-founders of RoboGnosis. I am obsessed with robots and love everything about them. I make robots in my presonal and professional life. On top of that I am a husband, father and love life.

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