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    Ryan Elliott
    iRobots in an industrial setting
    Entry posted September 27, 2014 by Ryan ElliottNewbie 
    164 Views, 1 Comment
    Title:
    iRobots in an industrial setting
    Description:

    I have been given the task of finding an automated way of cleaning restaurant floors. I want to know if Roomba's and Scooba's can be adapted to the task. The Scooba will need to be able to re-dock itself when the batteries are low. Both the robots would work as a team and would need the ability to communicate to each other. They would also need to be able to communicate with outside sensors. It also seems to me that these focus on two kinds of messes: dry debris messes and small to medium wet/dry floor spots. I am wondering if any of these robots could tackle a medium to large ketchup spill or vacuum up a basket of spilled french fries, or even an amalgamation of ketchup and french fries. If they can, then great that's awesome. If they can't, then how can I adapt them to accomplish this task? IRobot's products are right now most likely catered to middle class and up families and possibly small businesses. Being able to open up the restaurant/industrial market would be a great innovation and business opportunity in my opinion. If anyone has any questions or comments or idea please feel free to share or ask.

    Comment

     

    • iRobotYi

      Hi Ryan,

      That would definitely be very cool. Actually, another customer mentioned something similar in terms of communication between robots.

      http://irobot.hivelive.com/posts/424bb08dfa

      In terms of adapting the robot I have known some users who use it in a small shop setting like a small retail store. While I do think large items like fires or wet items will be an issue, it may work.

      I am not sure if this will work but something I am coming up from the top of my head. Use virtual wallks to break up a large area into smaller places and have one roomba docked and home base docked in a quadrant? I cannot guaruantee this to work but just an idea.

      Thanks,

      Yi Liu