Systems and methods for surrounding information acquisition and feedback for intelligent wheelchairs

{
  "publication_number": "US2020019164A1",
  "country": "US",
  "kind": "A1",
  "title": "Systems and methods for surrounding information acquisition and feedback for intelligent wheelchairs",
  "abstract": "The present disclosure discloses the surrounding information collection, feedback system and method of the intelligent wheelchair. The system includes a processor, a movement module, and a holder, and the processor is configured to perform operations of receiving information, constructing a map, planning a route, and generating control parameters. The movement module executes the control parameters to move around and includes one or more sensors to detect the information. The holder includes one or more sensors to sense the information.",
  "claims": [
    "1. A system, comprising: a movement module including a wheel, a carrier, and a first-type sensor, the first-type sensor configured to collect surrounding information; a holder including a second-type sensor; and a processor including an analysis module, a navigation module, and a control module, wherein the processor is configured to: communicate with the holder and the movement module, respectively; obtain information from one or more of the first-type sensor and the second-type sensor, respectively; determine a destination and a location of the system; build a map based on the information; plan a route for the system based on the map; determine control parameters for the system based on the route and the information; and control a movement and an attitude of the system based on the control parameter. 2. The system of claim 1, wherein the processor communicates with the holder and the movement module, respectively, using an application program interface. 3. The system of claim 1, wherein the first-type sensor includes at least one of an accelerometer, a gyroscope, a sonar, an infrared distance sensor, an optical flow sensor, a lidar, or a navigation sensor. 4. The system of claim 3, wherein the first-type sensor includes a sonar and an optical flow sensor. 5. The system of claim 1, wherein the second-type sensor includes at least one of an image sensor, an accelerometer, a gyroscope, a sonar, an infrared distance sensor, an optical flow sensor, a lidar, or a navigation sensor. 6. The system of claim 5, wherein the second-type sensor includes an image sensor, an accelerometer, a gyroscope, and a navigation sensor. 7. The system of claim 1, wherein the information obtained from the one or more of the first-type sensor and the second-type sensor includes image data, gyroscope data, accelerometer data, position data, or distance data. 8. A method, comprising: establishing communication between a processor and a holder, and between a processor and a movement module; obtaining information from one or more of second-type sensors of the holder and first-type sensor of the movement module by the processor, respectively; determining a destination and a location of an intelligent robot by the processor; obtaining, by the processor, a map based on the information; determining, by the processor, a route from the location to the destination of the intelligent robot based on the map; determining control parameters of the movement module and the holder based on the route and the information; controlling a movement and attitude of the intelligent robot based on the control parameter. 9. The method of claim 8, wherein the processor communicates with the holder and the movement module, respectively, using an application program interface. 10. The method of claim 8, wherein the first-type sensor includes at least one of an accelerometer, a gyroscope, a sonar, an infrared distance sensor, an optical flow sensor, a lidar or a navigation sensor. 11. The method of claim 10, wherein the first-type sensor comprises a sonar and an optical flow sensor. 12. The method of claim 8, wherein the second-type sensor comprises at least one of an image sensor, an accelerometer, a gyroscope, a sonar, an infrared distance sensor, an optical flow sensor, a lidar, or a navigation sensor. 13. The system of claim 12, wherein the second-type sensor includes an image sensor, an accelerometer, a gyroscope, and a navigation sensor. 14. The method of claim 8, wherein the information obtained by the one or more of the second-type sensor of the holder and the first-type sensor of the movement module comprises image data, gyroscope data, accelerometer data, position data, or distance data."
  ],
  "description_excerpt": "The present disclosure relates to systems and methods for surrounding information collection and feedback for an intelligent wheelchair. Specifically, the present disclosure relates to control methods for a mobile intelligent robot, for controlling image detection and processing, for route searching, and for robot movement.\n\nIn daily life, intelligent devices that may move, such as a cleaning robot, an intelligent balance wheel, an intelligent wheelchair, or the like, are becoming more and more common. The intelligent wheelchair may help the disabled to perform physiological functions, such as basic movement, observing the surroundings, or the like. The intelligent wheelchair typically utilizes an intelligent robot system to implement functions, such as moving, perceiving the surroundings, and monitoring health. In order to provide services within the region, the intelligent robot system may identify the surroundings and automatically move based on existing maps. With the rapid development of people's demand for services, people expect a multi-functional intelligent robot system that is able to update maps, plan routes and automatically move, especially an intelligent robot that may adapt to more complex regions.\n\nAn aspect of the present disclosure relates to a system that includes a storage that stores instructions and a processor that communicates with the storage. When executing the instruction, the processor may establish communication with the movement module and the holder via a communication port. The processor may obtain information from the sensors of the movement module and the holder to build a map.",
  "cpc": [
    "G05D 1/0088",
    "A61G 2203/22",
    "A61G 2203/36",
    "A61G 2203/40",
    "A61G 2203/42",
    "A61G 2203/72",
    "A61G 5/04",
    "A61G 5/041",
    "A61G 5/10",
    "B25J 5/007",
    "B25J 9/1666",
    "B25J 9/1697",
    "G01C 21/005",
    "G01C 21/1652",
    "G01C 21/1656",
    "G01C 21/20",
    "G05D 1/0246",
    "G05D 1/0274",
    "G05D 1/639",
    "G05D 2201/0206"
  ],
  "ipc": [
    "B25J 5/00",
    "B25J 9/16",
    "G01C 21/00",
    "G01C 21/20",
    "G05D 1/00"
  ],
  "assignees": [
    "Sichuan Golden Ridge Intelligence Science and Technology Co Ltd"
  ],
  "inventors": [
    "Jiaxin Li",
    "Yin JIAO",
    "Li Yan",
    "Dong Dong",
    "Yifeng Huang",
    "Weirong Liu"
  ],
  "filing_date": "2017-01-22",
  "publication_date": "2020-01-16",
  "priority_date": "2017-01-22",
  "application_number": "US-201716476317-A",
  "family_id": "62907639",
  "cited_by_count": 8
}