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FOD BOT 1 project is a go

I am embarking a new journey that I hope will lead to some fun, some money and a lot of learning.  I will be building and programming a robot.  The building part is not that hard, I have done that several times with FIRST teams in Philly and Washington DC.  It is the programming part that is going to be the challenge for me.


I want to build a robot named the FOD BOT I.  The FOD BOT 1 is an OSHA approved Roomba on steroids capable of operating autonomously 24 hours a day to prevent Foreign Object Debris (FOD) in production environment. It is an idea I came up with a few years ago that I think still has legs.  If you want to learn more about this project check out this video.

I will add the kick starter info once it is approved.

I am also working on combining my work at the CATT Lab with my love for robots.  The CATT Lab is working to be the NOAA of transit and is collecting transportation data from the entire country on a daily basis to serving it back to customers in 26 states in both real time and access to the archive.  One of the challenges facing the lab is the growth of connected cars (cars that talk to each other) and autonomous cars (cars that drive themselves).  Both of these types of vehicles will be changing the way we drive and how transportation data is collected. Connected cars hit the roads as early as next year and autonomous cars might hit the road as early as 2020.  But if you look at cars as robotic systems they have a lot of similarity to the changes taking place in aviation right now as the FAA looks to create the legal framework for Unmanned Arial Systems (UASs). These are just autonomous cars that can fly, the problem is they are already in the airspace being used by farmers, wedding photographers, real estate agents, news organizations and many others. This is forcing the FAA to rapidly react, leaving lots of room for recommendation.  That is where I hope to fit in, I am going to write a series of white papers based on capturing black box data from unmanned systems as they apply to ground and air based application in hopes of guiding the US Department of Transportation (USDOT) to create a universal policy.  I will update you as it goes.

Autonomous cars are Green and could be much much More

I have been reading about the progress of several manufacturers working on autonomous cars. BMW, Audi, General Motors, Volvo, Mercedes Benz, Ford, Toyota and Google are just a few of the companies looking to change the way we drive… move.  The claims for autonomous vehicles are simple; people behind vehicles acting in reaction to other people in vehicles can only achieve a certain amount of safety and efficiency.  Whereas vehicles acting together can increase both safety and efficiency while decreasing travel times. 

Many companies already have test vehicles roaming our streets laying the ground work for these vehicles to enter the market place in the coming decades. Although some authors and companies believe the first automated cars will be on the streets before 2020..  We shall see, in the mean time consumers are benefiting from all kinds of new automated safety and convenience features being added to vehicles every year; Anti-lock brakes, self parking cars, collision avoidance systems and smart cruise are just a few of the features that are paving the way for increased automation.  

Besides maturing the technology there are two big hurdles that hands free driving needs to overcome, first, the liability.  In the aviation industry, airplane manufacturers design to a government set of minimum standards in just about every regard.  The aircraft is then tested to show that what was designed and produced meets those minimums. The aircraft then enters service and only FAA certified professional can operate and service the aircraft.  Along the aircrafts life cycle inspections are performed to all features of the aircraft per a set of government and manufacturer guidelines.  If at any point an issue is identified the all of the aircraft can be grounded till a suitable understanding of the issue can be acquired and an approved solution found.  During the investigation of any issue liability for the repair can in most cases be easily directed back to the operator, the maintainer, the manufacturer or some combination of those parties. The recent 787 battery issue is a great example of how this system of checks and balances keeps aviation safe. In addition in the case of an issue investigators from the NTSB are able to go through maintenance log books, operator log books, aircraft black boxes and manufacturer records to identify the potential problems. They can also reconstruct an incident to determine if the source of the crash was a mechanical failure.  Lastly the NTSB tracks all reported incidents with a specific model of aircraft to identify trends. 

Getting back to the driverless car we have some issues with the liability model that cars currently operate under today.  In most cases today it is the drivers fault. The manufacturer and the mechanic are rarely targeted for issues unless clear evidence is obtainable.  But when we take the driver out of the equation whose fault does it become, the owner, the mechanic, the manufacturer?  None of these parties were at the accident so how will police assign blame, how will insurance companies assign liability?  There are no log books, there are no maintenance records, there are no certified professionals servicing your car and there is no accident investigation team out on the high way during rush hour recreating the accident. So how do we assign fault?  Without all of these checks in the system it will be hard to say whose fault it is that the car killed my family.  That first question will take a lot of thought and cherry pick the parts of aviation liability lifecycle that make sense for this more prevalent form of travel.

The second largest hurdle is transition.  If all cars are driven by people then the system operates at this level of efficiency.  If all cars are driven by machines then the system operates at an increased level of efficiency.  But what is a percentage of cars are operated by people and a percentage are operated by machines?  This is the second largest question and is what is driving a lot of my imagination.  A system made up entirely of driverless vehicles is much easier to set up and prove that it is an improvement to the current 100% people driven system.  The system that is a mix of the two takes a lot longer to set up, requires more regulation and may not have any significant impact on the efficiency of the system till a tipping point is reached.  Two states have started to look at how they would regulate such a system in hopes of luring companies and jobs to their state as this trend towards automation continues.  Nevada was the first state followed by California to get driverless car laws on the books.  Nevada, one could argue was at the heart of the driverless car revolution since it hosted the DARPA grand challenge that showed that autonomous cars could be built using today’s technology. However both states are leaping ahead in this research as automotive companies continue to set up shop in these two tech savvy states.

The laws that they have put on the books can be found here.

Nevada’s Law

California’s Law


So now the big question…. Which east coast state will be the first to put it’s toe into the driverless car revolution?