Irobot Corporation

Laura V Herlant

Michael J Halloran

Husain al-Mohssen

Brent Hild

Ryan Schneider

Elena Jakubiak

Danielle O'Connor Dean

Zupei Li

Benjamin Glazer

Cheuk Wah Wong

Kshitij Bichave

Deepak Sharma

Aravindh Kuppusamy

Shao Zhou

Described herein are systems, devices, and methods for validating location of a docking station for docking a mobile robot. In an example, a mobile robot system includes a docking station and a mobile cleaning robot. The mobile cleaning robot includes a drive system to move the mobile cleaning robot about an environment including a docking area within a distance of the docking station, and a controller circuit to detect, from an image of the docking area, a presence or absence of one or more obstacles in the docking area. A notification may be generated to inform a user about the detected obstacles. The mobile device may generate a recommendation to the user to clear the docking area or reposition the docking station, or suggest one or more candidate locations for placing the docking station.

Systems and methods for dock placement for an autonomous mobile robot

An autonomous cleaning robot includes a drive system to support the autonomous cleaning robot above a floor surface, an image capture device positioned on the autonomous cleaning robot to capture imagery of a portion of the floor surface forward of the autonomous cleaning robot, and a controller operably connected to the drive system and the image capture device. The drive system is operable to maneuver the autonomous cleaning robot about the floor surface. The controller is configured to execute instructions to perform operations including initiating, based on a user-selected sensitivity and the imagery captured by the image capture device, an avoidance behavior to avoid an obstacle on the portion of the floor surface.

Image capture devices for autonomous mobile robots and related systems and methods

Described herein are systems, devices, and methods for controlling a mobile cleaning robot to escape from a stuck state using a learned robot escape behavior model. The model is trained using reinforcement learning at a cloud-computing device or networked devices. A mobile cleaning robot comprises a drive system, a sensor circuit to collect sensor data associated with a detected stuck state, and a controller circuit that can receive the trained robot escape behavior model, and apply the sensor data associated with the detected stuck state to the trained robot escape behavior model to determine an escape policy. The drive system or one or more actuators of the mobile robot can remove the mobile robot from the stuck state according to the determined escape policy.

Learned escape behaviors of a mobile robot

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Arlington, MA, United States of America

Laura V Herlant