Method for devising a schedule based on user input

• US 10,496,063 B1
• Filed: 03/03/2017
• Issued: 12/03/2019
• Est. Priority Date: 03/03/2016
• Status: Active Grant

• Current Assignee: Ai Incorprated
• Original Assignee: Ai Incorprated
• Inventors: Ebrahimi Afrouzi, Ali
• Primary Examiner(s): Mancho, Ronnie M
• Application Number:
  US15/449,660
• Time in Patent Office: 1,005 Days
• Field of Search: 700245, 700257
• CPC Class Codes: A47L 11/4011 Regulation of the cleaning machine by electric means; Control systems and remote control systems therefor
• CPC Class Codes: A47L 2201/022 Recharging of batteries
• CPC Class Codes: A47L 2201/04 Automatic control of the travelling movement; Automatic obstacle detection
• CPC Class Codes: A47L 9/2852 Elements for displacement of the vacuum cleaner or the accessories therefor, e.g. wheels, casters or nozzles
• CPC Class Codes: A47L 9/2857 User input or output elements for control, e.g. buttons, switches or displays
• CPC Class Codes: B25J 11/0085 Cleaning
• CPC Class Codes: B25J 9/161 Hardware, e.g. neural networks, fuzzy logic, interfaces, processor
• CPC Class Codes: G05B 19/0426 Programming the control sequence
• CPC Class Codes: G05B 2219/25419 Scheduling
• CPC Class Codes: G05D 1/0088 characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours using knowledge based models G06N5/00

Abstract

A schedule development method for a robotic floor-cleaning device that attempts to recognize patterns in user input to automatically devise a work schedule.

Claims

1. A method for developing a schedule for a robotic floor-cleaning device comprising:

receiving, by a control unit of the robotic floor-cleaning device, at least one date and time to operate the robotic floor-cleaning device from an input-output device;

storing, by the control unit of the robotic floor-cleaning device, the at least one date and time in a database;

inferring, by the control unit of the robotic floor-cleaning device, a work schedule of the robotic floor-cleaning device using a reinforcement learning model;

transmitting, by the control unit of the robotic floor-cleaning device, the inferred work schedule to the input-output device;

receiving, by the control unit of the robotic floor-cleaning device, adjustments to the inferred work schedule from the input-output device; and

,

updating, by the control unit of the robotic floor-cleaning device, at least one input to the reinforcement learning model based on the contents of the database and adjustments to the inferred work schedule.

2. The method of claim 1, wherein the input-output device comprises one or more of:

a dedicated remote control, an interface on the robotic floor-cleaning device, a software interface on a computer, a software interface on a smartphone, and a software interface on a tablet.

3. The method of claim 1, further comprising storing the inferred work schedule in the database and updating the inferred work schedule stored in the database based on the adjustments to the inferred work schedule.

4. The method of claim 1, wherein scheduling information is received from and transmitted to a software application of the input-output device.

5. A robotic floor-cleaning device, comprising:

a chassis;

a set of wheels coupled to the chassis and driven by one or more motors;

one or more control units; and

,

one or more tangible, non-transitory, machine-readable medium storing instructions that when executed by the one or more control units effectuate operations comprising;

receiving, by the control unit of the robotic floor-cleaning device, at least one date and time to operate the robotic floor-cleaning device from an input-output device;

storing, by the control unit of the robotic floor-cleaning device, the at least one date and time in a database;

inferring, by the control unit of the robotic floor-cleaning device, a work schedule of the robotic floor-cleaning device using a reinforcement learning model;

transmitting, by the control unit of the robotic floor-cleaning device, the inferred work schedule to the input-output device;

receiving, by the control unit of the robotic floor-cleaning device, adjustments to the inferred work schedule from the input-output device; and

,

updating, by the control unit of the robotic floor-cleaning device, at least one input to the reinforcement learning model based on the contents of the database and adjustments to the inferred work schedule.

6. The robotic floor-cleaning device of claim 5, wherein the input-output device comprises one or more of:

a dedicated remote control, an interface on the robotic floor-cleaning device, a software interface on a computer, a software interface on a smartphone, and a software interface on a tablet.

7. The robotic floor-cleaning device of claim 5, further comprising storing the inferred work schedule in the database and updating the inferred work schedule stored in the database based on the adjustments to the inferred work schedule.

8. The robotic floor-cleaning device of claim 5, wherein scheduling information is received from and transmitted to a software application of the input-output device.

9. One or more tangible, non-transitory, machine-readable medium storing instructions that when executed by the one or more control units of a robotic floor-cleaning device effectuate operations comprising:

receiving, by the one or more control units of the robotic floor-cleaning device, at least one date and time to operate the robotic floor-cleaning device from an input-output device;

storing, by the one or more control units of the robotic floor-cleaning device, the at least one date and time in a database;

inferring, by the one or more control units of the robotic floor-cleaning device, a work schedule of the robotic floor-cleaning device using a reinforcement learning model;

transmitting, by the one or more control units of the robotic floor-cleaning device, the inferred work schedule to the input-output device;

receiving, by the one or more control units of the robotic floor-cleaning device, adjustments to the inferred work schedule from the input-output device; and

,

updating, by the one or more control units of the robotic floor-cleaning device, at least one input to the reinforcement learning model based on the contents of the database and adjustments to the inferred work schedule.

10. The one or more media of claim 9, wherein the input-output device comprises one or more of:

a dedicated remote control, an interface on the robotic floor-cleaning device, a software interface on a computer, a software interface on a smartphone, and a software interface on a tablet.

11. The one or more media of claim 9, further comprising storing the inferred work schedule in the database and updating the inferred work schedule stored in the database based on the adjustments to the inferred work schedule.

12. The one or more media of claim 9, wherein scheduling information is received from and transmitted to a software application of the input-output device.