Method for efficient operation of mobile robotic devices
First Claim
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1. A method for a mobile robotic cleaning devices to autonomously plan work duties in a work environment in a most efficient manner possible, the method comprising:
- accessing historical data stored from prior work cycles, the historical data being indicative of a type of work surface and a presence or absence of dynamic obstacles in a given work area;
processing probabilities based on the historical data as to a most efficient navigational route and operational work duties for the mobile robotic cleaning device to partake in with one or more processors of the mobile robotic cleaning device;
enacting the most efficient navigational route and operational work duties by the mobile robotic cleaning device;
capturing new data by one or more sensors of the mobile robotic cleaning device while enacting the navigational route and operational work duties within the work environment;
processing new data with the one or more processors of the mobile robotic cleaning device;
assessing a penalty score for a work area within the work environment when a dynamic obstacle is detected in the work area with the one or more processors; and
enacting a new most efficient navigational route and operational work duties by the mobile robotic cleaning device when discrepancies exist between the new data and the historical data.
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Abstract
A method for efficient navigational and work duty planning for mobile robotic devices. A mobile robotic device will autonomously create a plan for navigation and work duty functions based on data compiled regarding various considerations in the work environment. These factors include what type of work surface is being operated on, whether dynamic obstacles are present in the work environment or not and the like factors.
21 Citations
20 Claims
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1. A method for a mobile robotic cleaning devices to autonomously plan work duties in a work environment in a most efficient manner possible, the method comprising:
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accessing historical data stored from prior work cycles, the historical data being indicative of a type of work surface and a presence or absence of dynamic obstacles in a given work area; processing probabilities based on the historical data as to a most efficient navigational route and operational work duties for the mobile robotic cleaning device to partake in with one or more processors of the mobile robotic cleaning device; enacting the most efficient navigational route and operational work duties by the mobile robotic cleaning device; capturing new data by one or more sensors of the mobile robotic cleaning device while enacting the navigational route and operational work duties within the work environment; processing new data with the one or more processors of the mobile robotic cleaning device; assessing a penalty score for a work area within the work environment when a dynamic obstacle is detected in the work area with the one or more processors; and enacting a new most efficient navigational route and operational work duties by the mobile robotic cleaning device when discrepancies exist between the new data and the historical data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification