Invention Grant
- Patent Title: Adaptive mapping with spatial summaries of sensor data
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Application No.: US14944152Application Date: 2015-11-17
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Publication No.: US09404756B2Publication Date: 2016-08-02
- Inventor: Philip Fong , Ethan Eade , Mario E. Munich
- Applicant: iRobot Corporation
- Applicant Address: US MA Bedforf
- Assignee: iRobot Corporation
- Current Assignee: iRobot Corporation
- Current Assignee Address: US MA Bedforf
- Agency: Myers Bigel & Sibley , P.A.
- Main IPC: G05B15/00
- IPC: G05B15/00 ; G01C21/20 ; G01C21/32 ; G05D1/02 ; G05D1/00

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.
Public/Granted literature
- US20160069691A1 ADAPTIVE MAPPING WITH SPATIAL SUMMARIES OF SENSOR DATA Public/Granted day:2016-03-10
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