Irobot Corporation

Vazgen Karapetyan

Mario E Munich

Philip Fong

Jason Meltzer

Jens-Steffen Ralf Gutmann

Artem Gritsenko

Zacharias Psarakis

Daniele Tamino

John P O'Brien

Steffen Gutmann

Andreas Kolling

William Morris

Guanlai Li

Robot localization or mapping can be provided without requiring the expense or complexity an 'at-a-distance' sensor, such as a camera, a LIDAR sensor, or the like. Adjacency-derived landmark features can be used and non-unique landmark features can be accommodated. Uncertainty in robot pose can be tracked and compared to an adaptive threshold, and non-dock and dock-based localization behavior can be controlled based on the uncertainty, the adaptive threshold, one or more other thresholds, and the accessibility of available differently oriented landmark features, such as perpendicularly oriented straight wall segments landmark features. Available features can be sorted according to a quality metric, and path planning and navigation techniques are also included for helping obtain successful wall-following and localization observations.

Robot localization and mapping accommodating non-unique landmarks

Robot localization or mapping can be provided without requiring the expense or complexity an 'at-a-distance' sensor, such as a camera, a LIDAR sensor, or the like. Adjacency-derived landmark features can be used and non-unique landmark features can be accommodated. Uncertainty in robot pose can be tracked and compared to an adaptive threshold, and non-dock and docks based localization behavior can be controlled based on the uncertainty, the adaptive threshold, one or more other thresholds, and the accessibility of available differently oriented landmark features, such as perpendicularly oriented straight wall segments landmark features. Available features can be sorted according to a quality metric, and path planning and navigation techniques are also included for helping obtain successful wall-following and localization observations.

An autonomous mobile robot includes a drive system to support the robot above a surface, a sensor system configured to generate a signal indicative of a location of the robot on the surface, and a controller operably connected to the drive system and the sensor system. The drive system is operable to navigate the robot about the surface. The controller is configured to execute instructions to perform operations including establishing a behavior control zone on the surface, controlling the drive system, in response to establishing the behavior control zone on the surface, to maneuver the robot to a location of the behavior control zone on the surface, and maneuvering, using the drive system, the robot about the surface and initiating a behavior in response to determining, based on the signal indicative of the location of the robot, that the robot is proximate the behavior control zone.

Control of autonomous mobile robots

A method for docking an autonomous mobile floor cleaning robot with a charging dock, the robot including a receiver coil and a structured light sensor, the charging dock including a docking bay and a transmitter coil, includes: positioning the robot in a prescribed docked position in the docking bay using the structured light sensor and by sensing a magnetic field emanating from the transmitter coil; and thereafter induction charging the robot using the receiver coil and the transmitter coil with the robot in the docked position.

Autonomous robot auto-docking and energy management systems and methods

A mobile robot system is provided that includes a docking station having at least two pose-defining fiducial markers. The pose-defining fiducial markers have a predetermined spatial relationship with respect to one another and/or to a reference point on the docking station such that a docking path to the base station can be determined from one or more observations of the at least two pose-defining fiducial markers. A mobile robot in the system includes a pose sensor assembly. A controller is located on the chassis and is configured to analyze an output signal from the pose sensor assembly. The controller is configured to determine a docking station pose, to locate the docking station pose on a map of a surface traversed by the mobile robot and to path plan a docking trajectory.

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Pasadena, CA, United States of America

Vazgen Karapetyan