Systems and methods for VSLAM optimization

    公开(公告)号:AU2015202318A1

    公开(公告)日:2015-05-21

    申请号:AU2015202318

    申请日:2015-05-01

    Applicant: IROBOT CORP

    Abstract: H:\dxl\Intrwovn\NRPortbl\DCC\DXL\7745724_I.docx-1/05/2015 A method for navigating a mobile system, the method implemented on one or more computer systems, comprising the steps of: creating landmarks in a mobile device by: finding inlier matches by camera motion and epipolar geometry; refining camera motion using inlier matches; determining if sufficient inliers exist; determining if a tolerance has been reached; adjusting a tolerance based on the determination that a tolerance has been reached; and returning inliers and camera motion as a new landmark. WO 20 12/040644 PCT/US201 11053122

    Systems and methods for VSLAM optimization

    公开(公告)号:AU2015202316A1

    公开(公告)日:2015-05-21

    申请号:AU2015202316

    申请日:2015-05-01

    Applicant: IROBOT CORP

    Abstract: H:\dxl\Intrwovn\NRPortbl\DCC\DXL\7744432_I.docx-1/05/2015 A method for navigating a mobile system, the method implemented on one or more computer systems, comprising the steps of: matching landmarks in a mobile device by: retrieving features from a global database; ranking landmarks by visual similarity; selecting a plurality of candidate landmarks; for each of the plurality of candidate landmarks: retrieving features in a local database; performing pose estimation; performing bundle adjustment; and determining an observation pose and covariance; selecting the best candidate as the matching landmark. WO 20 12/040644 PCT/US201 11053122

    Adaptive mapping with spatial summaries of sensor data

    公开(公告)号:AU2013327774A1

    公开(公告)日:2014-10-30

    申请号:AU2013327774

    申请日:2013-09-23

    Applicant: IROBOT CORP

    Abstract: A system and method for mapping parameter data acquired by a robot mapping system is disclosed. Parameter data characterizing the environment is collected while the robot localizes itself within the environment using landmarks. Parameter data is recorded in a plurality of local grids, i.e., sub-maps associated with the robot position and orientation when the data was collected. The robot is configured to generate new grids or reuse existing grids depending on the robot's current pose, the pose associated with other grids, and the uncertainty of these relative pose estimates. The pose estimates associated with the grids are updated over time as the robot refines its estimates of the locations of landmarks from which determines its pose in the environment. Occupancy maps or other global parameter maps may be generated by rendering local grids into a comprehensive map indicating the parameter data in a global reference frame extending the dimensions of the environment.

    Carpet drift estimation using differential sensors or visual measurements

    公开(公告)号:AU2013270671A1

    公开(公告)日:2014-10-30

    申请号:AU2013270671

    申请日:2013-06-07

    Applicant: IROBOT CORP

    Abstract: Apparatus and methods for carpet drift estimation are disclosed. In certain implementations, a robotic device includes an actuator system to move the body across a surface. A first set of sensors can sense an actuation characteristic of the actuator system. For example, the first set of sensors can include odometry sensors for sensing wheel rotations of the actuator system. A second set of sensors can sense a motion characteristic of the body. The first set of sensors may be a different type of sensor than the second set of sensors. A controller can estimate carpet drift based at least on the actuation characteristic sensed by the first set of sensors and the motion characteristic sensed by the second set of sensors.

    ADAPTIVE MAPPING WITH SPATIAL SUMMARIES OF SENSOR DATA

    公开(公告)号:CA2870381A1

    公开(公告)日:2014-04-10

    申请号:CA2870381

    申请日:2013-09-23

    Applicant: IROBOT CORP

    Abstract: A system and method for mapping parameter data acquired by a robot mapping system is disclosed. Parameter data characterizing the environment is collected while the robot localizes itself within the environment using landmarks. Parameter data is recorded in a plurality of local grids, i.e., sub-maps associated with the robot position and orientation when the data was collected. The robot is configured to generate new grids or reuse existing grids depending on the robot's current pose, the pose associated with other grids, and the uncertainty of these relative pose estimates. The pose estimates associated with the grids are updated over time as the robot refines its estimates of the locations of landmarks from which determines its pose in the environment. Occupancy maps or other global parameter maps may be generated by rendering local grids into a comprehensive map indicating the parameter data in a global reference frame extending the dimensions of the environment.

    ADAPTIVE MAPPING WITH SPATIAL SUMMARIES OF SENSOR DATA
    16.
    发明公开
    ADAPTIVE MAPPING WITH SPATIAL SUMMARIES OF SENSOR DATA 有权
    传感器数据的空间摘要的自适应分配

    公开(公告)号:EP2839399A4

    公开(公告)日:2016-06-15

    申请号:EP13843954

    申请日:2013-09-23

    Applicant: IROBOT CORP

    Abstract: A system and method for mapping parameter data acquired by a robot mapping system is disclosed. Parameter data characterizing the environment is collected while the robot localizes itself within the environment using landmarks. Parameter data is recorded in a plurality of local grids, i.e., sub-maps associated with the robot position and orientation when the data was collected. The robot is configured to generate new grids or reuse existing grids depending on the robot's current pose, the pose associated with other grids, and the uncertainty of these relative pose estimates. The pose estimates associated with the grids are updated over time as the robot refines its estimates of the locations of landmarks from which determines its pose in the environment. Occupancy maps or other global parameter maps may be generated by rendering local grids into a comprehensive map indicating the parameter data in a global reference frame extending the dimensions of the environment.

    SYSTEMS AND METHODS FOR VSLAM OPTIMIZATION
    18.
    发明公开
    SYSTEMS AND METHODS FOR VSLAM OPTIMIZATION 有权
    系统VERFAHREN ZUR VSLAM-OPTIMIERUNG

    公开(公告)号:EP2619742A4

    公开(公告)日:2016-10-26

    申请号:EP11827663

    申请日:2011-09-23

    Applicant: IROBOT CORP

    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. Certain embodiments contemplate improvements to the front-end processing in a SLAM-based system. Particularly, certain of these embodiments contemplate a novel landmark matching process. Certain of these embodiments also contemplate a novel landmark creation process. Certain embodiments contemplate improvements to the back-end processing in a SLAM-based system. Particularly, certain of these embodiments contemplate algorithms for modifying the SLAM graph in real-time to achieve a more efficient structure.

    Abstract translation: 本发明涉及使用视觉传感器和航位推算传感器来处理同时定位和映射(SLAM)的方法和装置。 这些技术可以用于机器人导航。 有利地,可以使用这种可视化技术来自主生成和更新地图。 与激光测距仪不同,视觉技术在广泛的应用中在经济上是实用的,并且可以在诸如人们移动的环境的相对动态的环境中使用。 某些实施例考虑在基于SLAM的系统中对前端处理的改进。 特别地,这些实施方案中的某些设想了新颖的地标匹配过程。 这些实施例中的某些也考虑了一个新颖的地标创建过程。 某些实施例考虑在基于SLAM的系统中对后端处理的改进。 特别地,这些实施例中的某些设想了用于实时修改SLAM图的算法,以实现更有效的结构。

    ADAPTIVE MAPPING WITH SPATIAL SUMMARIES OF SENSOR DATA

    公开(公告)号:CA2952355C

    公开(公告)日:2017-11-28

    申请号:CA2952355

    申请日:2013-09-23

    Applicant: IROBOT CORP

    Abstract: A system and method for mapping parameter data acquired by a robot mapping system is disclosed. Parameter data characterizing the environment is collected while the robot localizes itself within the environment using landmarks. Parameter data is recorded in a plurality of local grids, i.e., sub-maps associated with the robot position and orientation when the data was collected. The robot is configured to generate new grids or reuse existing grids depending on the robot's current pose, the pose associated with other grids, and the uncertainty of these relative pose estimates. The pose estimates associated with the grids are updated over time as the robot refines its estimates of the locations of landmarks from which determines its pose in the environment. Occupancy maps or other global parameter maps may be generated by rendering local grids into a comprehensive map indicating the parameter data in a global reference frame extending the dimensions of the environment.

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